{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "18739291",
   "metadata": {},
   "source": [
    "# Pseudo-bulk functional analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "438be8ce",
   "metadata": {},
   "source": [
    "When cell lineage is clear (there are clear cell identity clusters), it might be beneficial to perform functional analyses at the pseudo-bulk level instead of the single-cell.\n",
    "By doing so, we recover lowly expressed genes that before where affected by the \"drop-out\" effect of single-cell. \n",
    "Additionaly, if there is more than one condition in our data, we can perform differential expression analysis (DEA) and use the gene statistics as input for enrichment analysis.\n",
    "\n",
    "In this notebook we showcase how to use `decoupler` for pathway and transcription factor (TF) enrichment from a human data-set. The data consists of ~5k Blood myeloid cells from healthy and COVID-19 infected patients available in the Single Cell Expression Atlas [here](https://www.ebi.ac.uk/gxa/sc/experiments/E-MTAB-9221/results?plotType=umap&plotOption=20).\n",
    "\n",
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note**\n",
    "    \n",
    "This tutorial assumes that you already know the basics of `decoupler`. Else, check out the [Usage](https://decoupler-py.readthedocs.io/en/latest/notebooks/usage.html) tutorial first.\n",
    "\n",
    "</div>  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44c4bc71",
   "metadata": {},
   "source": [
    "## Loading packages\n",
    "\n",
    "First, we need to load the relevant packages, `scanpy` to handle scRNA-seq data\n",
    "and `decoupler` to use statistical methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "90250f85",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scanpy as sc\n",
    "import decoupler as dc\n",
    "\n",
    "# Only needed for processing\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Needed for some plotting\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02c04508",
   "metadata": {},
   "source": [
    "## Loading the data\n",
    "\n",
    "We can download the data easily using `scanpy`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5a9fad31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 6178 × 18958\n",
       "    obs: 'sex', 'individual', 'disease', 'cell_type'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Download data-set \n",
    "adata = sc.datasets.ebi_expression_atlas(\"E-MTAB-9221\", filter_boring=True)\n",
    "\n",
    "# Rename meta-data\n",
    "columns = ['Sample Characteristic[sex]',\n",
    "           'Sample Characteristic[individual]',\n",
    "           'Sample Characteristic[disease]',\n",
    "           'Factor Value[inferred cell type - ontology labels]']\n",
    "adata.obs = adata.obs[columns]\n",
    "adata.obs.columns = ['sex','individual','disease','cell_type']\n",
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c1645cd",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Processing\n",
    "\n",
    "This specific data-set contains ensmbl gene ids instead of gene symbols. \n",
    "To be able to use `decoupler` we need to transform them into gene symbols:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "84729a4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_46766/3588509663.py:11: ImplicitModificationWarning: Trying to modify attribute `.var` of view, initializing view as actual.\n",
      "  adata.var['gene_symbol'] = [annot.loc[ensembl_id,'external_gene_name'] for ensembl_id in adata.var.index]\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/anndata/_core/anndata.py:1830: UserWarning: Variable names are not unique. To make them unique, call `.var_names_make_unique`.\n",
      "  utils.warn_names_duplicates(\"var\")\n"
     ]
    }
   ],
   "source": [
    "# Retrieve gene symbols\n",
    "annot = sc.queries.biomart_annotations(\"hsapiens\",\n",
    "        [\"ensembl_gene_id\", \"external_gene_name\"],\n",
    "        use_cache=False\n",
    "    ).set_index(\"ensembl_gene_id\")\n",
    "\n",
    "# Filter genes not in annotation\n",
    "adata = adata[:, adata.var.index.intersection(annot.index)]\n",
    "\n",
    "# Assign gene symbols\n",
    "adata.var['gene_symbol'] = [annot.loc[ensembl_id,'external_gene_name'] for ensembl_id in adata.var.index]\n",
    "adata.var = adata.var.reset_index().rename(columns={'index': 'ensembl_gene_id'}).set_index('gene_symbol')\n",
    "\n",
    "# Remove genes with no gene symbol\n",
    "adata = adata[:, ~pd.isnull(adata.var.index)]\n",
    "\n",
    "# Remove duplicates\n",
    "adata.var_names_make_unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63816f60",
   "metadata": {},
   "source": [
    "Since the meta-data of this data-set is available, we can filter cells that were not annotated:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dfa28500",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove non-annotated cells\n",
    "adata = adata[~adata.obs['cell_type'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "354f2dc7",
   "metadata": {},
   "source": [
    "We will store the raw counts in the `.layers` attribute so that we can use them\n",
    "afterwards to generate pseudo-bulk profiles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3a72f6ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Store raw counts in layers\n",
    "adata.X = np.round(adata.X)\n",
    "adata.layers['counts'] = adata.X\n",
    "\n",
    "# Normalize and log-transform\n",
    "sc.pp.normalize_total(adata, target_sum=1e4)\n",
    "sc.pp.log1p(adata)\n",
    "adata.layers['normalized'] = adata.X"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e48e0cc",
   "metadata": {},
   "source": [
    "We can also look how cells cluster by cell identity:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e75a6fd4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/preprocessing/_highly_variable_genes.py:478: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  hvg = hvg.append(missing_hvg, ignore_index=True)\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/preprocessing/_highly_variable_genes.py:478: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  hvg = hvg.append(missing_hvg, ignore_index=True)\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/preprocessing/_highly_variable_genes.py:478: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  hvg = hvg.append(missing_hvg, ignore_index=True)\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/preprocessing/_highly_variable_genes.py:478: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  hvg = hvg.append(missing_hvg, ignore_index=True)\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/preprocessing/_highly_variable_genes.py:478: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  hvg = hvg.append(missing_hvg, ignore_index=True)\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/preprocessing/_highly_variable_genes.py:478: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  hvg = hvg.append(missing_hvg, ignore_index=True)\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/preprocessing/_highly_variable_genes.py:478: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  hvg = hvg.append(missing_hvg, ignore_index=True)\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/plotting/_tools/scatterplots.py:392: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/plotting/_tools/scatterplots.py:392: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1455.6x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Identify highly variable genes\n",
    "sc.pp.highly_variable_genes(adata, batch_key='individual')\n",
    "\n",
    "# Scale the data\n",
    "sc.pp.scale(adata, max_value=10)\n",
    "\n",
    "# Generate PCA features\n",
    "sc.tl.pca(adata, svd_solver='arpack', use_highly_variable=True)\n",
    "\n",
    "# Compute distances in the PCA space, and find cell neighbors\n",
    "sc.pp.neighbors(adata)\n",
    "\n",
    "# Generate UMAP features\n",
    "sc.tl.umap(adata)\n",
    "\n",
    "# Visualize\n",
    "sc.pl.umap(adata, color=['disease','cell_type'], frameon=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f765ae1",
   "metadata": {},
   "source": [
    "In this data-set we have two condition, `COVID-19` and `healthy`, across 6 different cell types."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d794c94",
   "metadata": {},
   "source": [
    "## Generation of pseudo-bulk profiles\n",
    "\n",
    "After the annotation of clusters into cell identities, we often would like to perform differential expression analysis (DEA) between conditions within particular cell types to further characterize them. DEA can be performed at the single-cell level, but the obtained p-values are often inflated as each cell is treated as a sample. We know that single cells within a sample are not independent of each other, since they were isolated from the same environment. If we treat cells as samples, we are not testing the variation across a population of samples, rather the variation inside an individual one. Moreover, if a sample has more cells than another it might bias the results. \n",
    "\n",
    "The current best practice to correct for this is using a pseudo-bulk approach ([Squair J.W., et al 2021](https://doi.org/10.1038/s41467-021-25960-2)), which involves the following steps:\n",
    "\n",
    "1. Subsetting the cell type(s) of interest to perform DEA.\n",
    "2. Extracting their raw integer counts.\n",
    "3. Summing their counts per gene into a single profile if they pass quality control.\n",
    "4. Performing DEA if at least two biological replicates per condition are available (more replicates are recommended).\n",
    "\n",
    "We can pseudobulk using the function `decoupler.get_pseudobulk`. In this example, we are interested in summing the counts but other\n",
    "modes are available, for more information check its argument `mode`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4573ce61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 38 × 17438\n",
       "    obs: 'sex', 'individual', 'disease', 'cell_type', 'psbulk_n_cells', 'psbulk_counts'\n",
       "    var: 'ensembl_gene_id', 'highly_variable', 'means', 'dispersions', 'dispersions_norm', 'highly_variable_nbatches', 'highly_variable_intersection', 'mean', 'std'\n",
       "    layers: 'psbulk_props'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get pseudo-bulk profile\n",
    "pdata = dc.get_pseudobulk(\n",
    "    adata,\n",
    "    sample_col='individual',\n",
    "    groups_col='cell_type',\n",
    "    layer='counts',\n",
    "    mode='sum',\n",
    "    min_cells=0,\n",
    "    min_counts=0\n",
    ")\n",
    "pdata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12a421ee-3cf2-4dc9-8f4b-7c4b2a38e3a1",
   "metadata": {},
   "source": [
    "It has generated a profile for each sample and cell type. We can plot their quality control metrics:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "16492c1f-a2ec-45ef-9a94-63f7acdd0a37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1100x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dc.plot_psbulk_samples(pdata, groupby=['individual', 'cell_type'], figsize=(11, 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee31d66a-7a93-4033-8dae-3e664bea05ba",
   "metadata": {},
   "source": [
    "There are two criteria to filter low quality samples: its number of cells (`psbulk_n_cells`), and its total sum of counts (`psbulk_counts`).\n",
    "In these plots it can be seen that there are some samples of platelet cells that contain less than 10 cells, we might want to remove\n",
    "them by using the arguments `min_cells` and `min_counts`. Note that these thresholds are arbitrary and will change depening on the\n",
    "dataset, but a good rule of thumb is to have at least 10 cells with 1000 accumulated counts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8f7dbd88-4648-4ad9-83c4-39e76f1c7b8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 30 × 17437\n",
       "    obs: 'sex', 'individual', 'disease', 'cell_type', 'psbulk_n_cells', 'psbulk_counts'\n",
       "    var: 'ensembl_gene_id', 'highly_variable', 'means', 'dispersions', 'dispersions_norm', 'highly_variable_nbatches', 'highly_variable_intersection', 'mean', 'std'\n",
       "    layers: 'psbulk_props'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get filtered pseudo-bulk profile\n",
    "pdata = dc.get_pseudobulk(\n",
    "    adata,\n",
    "    sample_col='individual',\n",
    "    groups_col='cell_type',\n",
    "    layer='counts',\n",
    "    mode='sum',\n",
    "    min_cells=10,\n",
    "    min_counts=1000\n",
    ")\n",
    "pdata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40297690",
   "metadata": {},
   "source": [
    "### Exploration of pseudobulk profiles\n",
    "Now that we have generated the pseudobulk profiles for each patient and each cell type, let's explore the variability between them. For that, we will first do some simple preprocessing and then do a PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bf0cfc2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "pp_pdata = pdata.copy()\n",
    "sc.pp.normalize_total(pp_pdata, target_sum=1e6)\n",
    "sc.pp.log1p(pp_pdata)\n",
    "sc.pp.scale(pp_pdata, max_value=10)\n",
    "sc.tl.pca(pp_pdata, n_comps=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0cde3b34",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/plotting/_tools/scatterplots.py:392: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n",
      "/home/badi/miniconda3/envs/dcp39/lib/python3.9/site-packages/scanpy/plotting/_tools/scatterplots.py:392: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1455.6x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.pca(pp_pdata, color=['disease', 'cell_type'], ncols=2, show=True, size=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c10e3618",
   "metadata": {},
   "source": [
    "When looking at the PCA, it seems like the two first components are able to easily separate cell types from one another, and it is therefore the main source of variability. In contrast, the principle components do not seem to be associated with disease status as such.\n",
    "\n",
    "In order to have a better overview of the association of PCs with sample metadata, let's perform ANOVA on each PC and see whether they are significantly associated with any technical or biological annotations of our samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d2c1ae46",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 24.12it/s]\n"
     ]
    }
   ],
   "source": [
    "dc.get_metadata_associations(\n",
    "    pp_pdata,\n",
    "    obs_keys = ['sex', 'disease', 'cell_type', 'psbulk_n_cells', 'psbulk_counts'], #metadata columns to associate to PCs\n",
    "    obsm_key='X_pca',  # where the PCs are stored\n",
    "    uns_key='pca_anova',  # where the results are stored\n",
    "    inplace=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "96e62686",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting plotting HeatmapAnnotations\n",
      "Collecting annotation legends..\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 700x1000 with 22 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,10))\n",
    "ax, legend_axes = dc.plot_associations(\n",
    "    pp_pdata,\n",
    "    uns_key='pca_anova',  # summary statistics from the anova tests\n",
    "    obsm_key='X_pca',  # where the PCs are stored\n",
    "    stat_col='p_adj',  # which summary statistic to plot\n",
    "    obs_annotation_cols = ['disease', 'cell_type'], # which sample annotations to plot\n",
    "    titles=['Adjusted p-values from ANOVA', 'Principle component scores']\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58bf93a2",
   "metadata": {},
   "source": [
    "On the PCA plots above, T and B cells seemed not to be that well separated. However when looking at the hierarchical clustering in the heatmap, one can see that the inclusion of more PCs helps to distinguish them.\n",
    "\n",
    "When looking at the p-values from the ANOVA models, it becomes clear that the first 6 PCs are statistically associated with the cell type (with the exception of PC2). Overall, disease and other technical variables do not seem to affect the cells when looking only at the principle components."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20818444-b8a3-45f4-b868-5a201c74a71a",
   "metadata": {},
   "source": [
    "### Pseudo-bulk profile gene filtering\n",
    "Additionally to filtering low quality samples, we can also filter noisy expressed genes in case we want to perform downstream analyses such as DEA afterwards. Note that this step should be done at the cell type level, since each cell type may express different collection of genes.\n",
    "\n",
    "For this vignette, we will explore the effects of COVID on T cells. Let's first select our samples of interest:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "afe51328-e326-4c35-8c93-edc24220f237",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select T cell profiles\n",
    "tcells = pdata[pdata.obs['cell_type'] == 'T cell'].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7dd4386-9c7c-4fe5-90d2-4f905c8e2bc5",
   "metadata": {},
   "source": [
    "To filter genes, we will follow the strategy implemented in the function `filterByExpr` from [edgeR](https://rdrr.io/bioc/edgeR/man/filterByExpr.html).\n",
    "It keeps genes that have a minimum total number of reads across samples (`min_total_count`), and that have a minimum number of counts in a number of samples (`min_count`).\n",
    "\n",
    "We can plot how many genes do we keep, you can play with the `min_count` and `min_total_count` to check how many genes would be kept when changed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bc0a73fc-2b21-4042-9574-5846328a1c6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dc.plot_filter_by_expr(tcells, group='disease', min_count=10, min_total_count=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "897d139f-401f-4704-92bf-5699b5b4d135",
   "metadata": {},
   "source": [
    "Here we can observe the frequency of genes with different total sum of counts and number of samples. The dashed lines indicate the current thresholds, meaning that only the genes in the upper-right corner are going to be kept. Filtering parameters is completely arbitrary, but a good rule of thumb is to identify bimodal distributions and split them modifying the available thresholds.\n",
    "In this example, with the default values we would keep a good quantity of genes while filtering potential noisy genes.\n",
    "\n",
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note**\n",
    "    \n",
    "Changing the value of `min_count` will drastically change the distribution of \"Number of samples\", not change its threshold.\n",
    "In case you want to lower or increase it, you need to play with the `group`, `large_n` and `min_prop` parameters. \n",
    "\n",
    "\n",
    "</div>\n",
    "\n",
    "Once we are content with the threshold parameters, we can perform the actual filtering:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1a9c3bf6-60a5-442c-99a1-b3f0ca967a7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 7 × 10265\n",
       "    obs: 'sex', 'individual', 'disease', 'cell_type', 'psbulk_n_cells', 'psbulk_counts'\n",
       "    var: 'ensembl_gene_id', 'highly_variable', 'means', 'dispersions', 'dispersions_norm', 'highly_variable_nbatches', 'highly_variable_intersection', 'mean', 'std'\n",
       "    layers: 'psbulk_props'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Obtain genes that pass the thresholds\n",
    "genes = dc.filter_by_expr(tcells, group='disease', min_count=10, min_total_count=15)\n",
    "\n",
    "# Filter by these genes\n",
    "tcells = tcells[:, genes].copy()\n",
    "tcells"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c756ffcd-755d-46ab-97f6-63cfc240263b",
   "metadata": {},
   "source": [
    "Another filtering strategy is to filter out genes that are not expressed in a percentage of cells and samples, as implemented\n",
    "in `decoupler.filter_by_prop`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75b34858",
   "metadata": {},
   "source": [
    "## Contrast between conditions\n",
    "Once we have generated robust pseudo-bulk profiles, we can compute DEA. For this example, we will perform a simple\n",
    "experimental design where we compare the gene expression of T cells from diseased patients against controls. We will use the\n",
    "python implementation of the framework DESeq2, but we could have used any other one (`limma` or `edgeR` for example).\n",
    "For a better understanding how it works, check [DESeq2's documentation](https://pydeseq2.readthedocs.io/en/latest/). Note that\n",
    "more complex experimental designs can be used by adding more factors to the `design_factors` argument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "93f1b99d-56b3-4088-9d56-92b071e01fc2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import DESeq2\n",
    "from pydeseq2.dds import DeseqDataSet\n",
    "from pydeseq2.ds import DeseqStats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c0e71146-b441-48da-b3d2-f2252787759e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build DESeq2 object\n",
    "dds = DeseqDataSet(\n",
    "    adata=tcells,\n",
    "    design_factors='disease',\n",
    "    ref_level=['disease', 'normal'],\n",
    "    refit_cooks=True,\n",
    "    n_cpus=8,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d4056b44-df95-43c6-b347-bf9fd8f5d82a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting size factors...\n",
      "... done in 0.00 seconds.\n",
      "\n",
      "Fitting dispersions...\n",
      "... done in 21.03 seconds.\n",
      "\n",
      "Fitting dispersion trend curve...\n",
      "... done in 4.24 seconds.\n",
      "\n",
      "Fitting MAP dispersions...\n",
      "... done in 23.82 seconds.\n",
      "\n",
      "Fitting LFCs...\n",
      "... done in 2.27 seconds.\n",
      "\n",
      "Refitting 0 outliers.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Compute LFCs\n",
    "dds.deseq2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e8b7c4a5-f386-4e9e-92ba-bcd7bfd8624a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract contrast between COVID-19 vs normal\n",
    "stat_res = DeseqStats(dds, contrast=[\"disease\", 'COVID-19', 'normal'], n_cpus=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "33353bda-170d-4407-ae58-5f5bf5f9ad95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running Wald tests...\n",
      "... done in 1.02 seconds.\n",
      "\n",
      "Log2 fold change & Wald test p-value: disease COVID-19 vs normal\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gene_symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A1BG</th>\n",
       "      <td>76.988823</td>\n",
       "      <td>-0.153115</td>\n",
       "      <td>0.131094</td>\n",
       "      <td>-1.167976</td>\n",
       "      <td>0.242817</td>\n",
       "      <td>0.601071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2M</th>\n",
       "      <td>36.821987</td>\n",
       "      <td>-1.264651</td>\n",
       "      <td>0.329930</td>\n",
       "      <td>-3.833088</td>\n",
       "      <td>0.000127</td>\n",
       "      <td>0.006909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2MP1</th>\n",
       "      <td>16.820749</td>\n",
       "      <td>0.434675</td>\n",
       "      <td>1.012763</td>\n",
       "      <td>0.429197</td>\n",
       "      <td>0.667780</td>\n",
       "      <td>0.879254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAS</th>\n",
       "      <td>19.124754</td>\n",
       "      <td>0.224339</td>\n",
       "      <td>0.374655</td>\n",
       "      <td>0.598788</td>\n",
       "      <td>0.549314</td>\n",
       "      <td>0.824622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACS</th>\n",
       "      <td>27.159517</td>\n",
       "      <td>0.349696</td>\n",
       "      <td>0.327890</td>\n",
       "      <td>1.066502</td>\n",
       "      <td>0.286197</td>\n",
       "      <td>0.641886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZXDC</th>\n",
       "      <td>30.408260</td>\n",
       "      <td>-0.314384</td>\n",
       "      <td>0.341992</td>\n",
       "      <td>-0.919275</td>\n",
       "      <td>0.357952</td>\n",
       "      <td>0.699869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZYG11B</th>\n",
       "      <td>111.209724</td>\n",
       "      <td>0.244446</td>\n",
       "      <td>0.316849</td>\n",
       "      <td>0.771492</td>\n",
       "      <td>0.440416</td>\n",
       "      <td>0.759711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZYX</th>\n",
       "      <td>83.020157</td>\n",
       "      <td>0.310187</td>\n",
       "      <td>0.209745</td>\n",
       "      <td>1.478876</td>\n",
       "      <td>0.139173</td>\n",
       "      <td>0.464883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZEF1</th>\n",
       "      <td>904.320129</td>\n",
       "      <td>0.017285</td>\n",
       "      <td>0.225223</td>\n",
       "      <td>0.076748</td>\n",
       "      <td>0.938824</td>\n",
       "      <td>0.985139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3</th>\n",
       "      <td>60.279076</td>\n",
       "      <td>-0.081135</td>\n",
       "      <td>0.273755</td>\n",
       "      <td>-0.296376</td>\n",
       "      <td>0.766943</td>\n",
       "      <td>0.919155</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10265 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               baseMean  log2FoldChange     lfcSE      stat    pvalue  \\\n",
       "gene_symbol                                                             \n",
       "A1BG          76.988823       -0.153115  0.131094 -1.167976  0.242817   \n",
       "A2M           36.821987       -1.264651  0.329930 -3.833088  0.000127   \n",
       "A2MP1         16.820749        0.434675  1.012763  0.429197  0.667780   \n",
       "AAAS          19.124754        0.224339  0.374655  0.598788  0.549314   \n",
       "AACS          27.159517        0.349696  0.327890  1.066502  0.286197   \n",
       "...                 ...             ...       ...       ...       ...   \n",
       "ZXDC          30.408260       -0.314384  0.341992 -0.919275  0.357952   \n",
       "ZYG11B       111.209724        0.244446  0.316849  0.771492  0.440416   \n",
       "ZYX           83.020157        0.310187  0.209745  1.478876  0.139173   \n",
       "ZZEF1        904.320129        0.017285  0.225223  0.076748  0.938824   \n",
       "ZZZ3          60.279076       -0.081135  0.273755 -0.296376  0.766943   \n",
       "\n",
       "                 padj  \n",
       "gene_symbol            \n",
       "A1BG         0.601071  \n",
       "A2M          0.006909  \n",
       "A2MP1        0.879254  \n",
       "AAAS         0.824622  \n",
       "AACS         0.641886  \n",
       "...               ...  \n",
       "ZXDC         0.699869  \n",
       "ZYG11B       0.759711  \n",
       "ZYX          0.464883  \n",
       "ZZEF1        0.985139  \n",
       "ZZZ3         0.919155  \n",
       "\n",
       "[10265 rows x 6 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute Wald test\n",
    "stat_res.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "44d25fe7-bef0-4332-8b9c-0244415599e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting MAP LFCs...\n",
      "... done in 5.08 seconds.\n",
      "\n",
      "Shrunk Log2 fold change & Wald test p-value: disease COVID-19 vs normal\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gene_symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A1BG</th>\n",
       "      <td>76.988823</td>\n",
       "      <td>-0.104734</td>\n",
       "      <td>0.124715</td>\n",
       "      <td>-1.167976</td>\n",
       "      <td>0.242817</td>\n",
       "      <td>0.601071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2M</th>\n",
       "      <td>36.821987</td>\n",
       "      <td>-1.073520</td>\n",
       "      <td>0.341650</td>\n",
       "      <td>-3.833088</td>\n",
       "      <td>0.000127</td>\n",
       "      <td>0.006909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2MP1</th>\n",
       "      <td>16.820749</td>\n",
       "      <td>0.012890</td>\n",
       "      <td>0.281526</td>\n",
       "      <td>0.429197</td>\n",
       "      <td>0.667780</td>\n",
       "      <td>0.879254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAS</th>\n",
       "      <td>19.124754</td>\n",
       "      <td>0.042434</td>\n",
       "      <td>0.234584</td>\n",
       "      <td>0.598788</td>\n",
       "      <td>0.549314</td>\n",
       "      <td>0.824622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACS</th>\n",
       "      <td>27.159517</td>\n",
       "      <td>0.087650</td>\n",
       "      <td>0.238030</td>\n",
       "      <td>1.066502</td>\n",
       "      <td>0.286197</td>\n",
       "      <td>0.641886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZXDC</th>\n",
       "      <td>30.408260</td>\n",
       "      <td>-0.070873</td>\n",
       "      <td>0.225258</td>\n",
       "      <td>-0.919275</td>\n",
       "      <td>0.357952</td>\n",
       "      <td>0.699869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZYG11B</th>\n",
       "      <td>111.209724</td>\n",
       "      <td>0.060934</td>\n",
       "      <td>0.220499</td>\n",
       "      <td>0.771492</td>\n",
       "      <td>0.440416</td>\n",
       "      <td>0.759711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZYX</th>\n",
       "      <td>83.020157</td>\n",
       "      <td>0.153903</td>\n",
       "      <td>0.193733</td>\n",
       "      <td>1.478876</td>\n",
       "      <td>0.139173</td>\n",
       "      <td>0.464883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZEF1</th>\n",
       "      <td>904.320129</td>\n",
       "      <td>0.006828</td>\n",
       "      <td>0.173613</td>\n",
       "      <td>0.076748</td>\n",
       "      <td>0.938824</td>\n",
       "      <td>0.985139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3</th>\n",
       "      <td>60.279076</td>\n",
       "      <td>-0.024154</td>\n",
       "      <td>0.194209</td>\n",
       "      <td>-0.296376</td>\n",
       "      <td>0.766943</td>\n",
       "      <td>0.919155</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10265 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               baseMean  log2FoldChange     lfcSE      stat    pvalue  \\\n",
       "gene_symbol                                                             \n",
       "A1BG          76.988823       -0.104734  0.124715 -1.167976  0.242817   \n",
       "A2M           36.821987       -1.073520  0.341650 -3.833088  0.000127   \n",
       "A2MP1         16.820749        0.012890  0.281526  0.429197  0.667780   \n",
       "AAAS          19.124754        0.042434  0.234584  0.598788  0.549314   \n",
       "AACS          27.159517        0.087650  0.238030  1.066502  0.286197   \n",
       "...                 ...             ...       ...       ...       ...   \n",
       "ZXDC          30.408260       -0.070873  0.225258 -0.919275  0.357952   \n",
       "ZYG11B       111.209724        0.060934  0.220499  0.771492  0.440416   \n",
       "ZYX           83.020157        0.153903  0.193733  1.478876  0.139173   \n",
       "ZZEF1        904.320129        0.006828  0.173613  0.076748  0.938824   \n",
       "ZZZ3          60.279076       -0.024154  0.194209 -0.296376  0.766943   \n",
       "\n",
       "                 padj  \n",
       "gene_symbol            \n",
       "A1BG         0.601071  \n",
       "A2M          0.006909  \n",
       "A2MP1        0.879254  \n",
       "AAAS         0.824622  \n",
       "AACS         0.641886  \n",
       "...               ...  \n",
       "ZXDC         0.699869  \n",
       "ZYG11B       0.759711  \n",
       "ZYX          0.464883  \n",
       "ZZEF1        0.985139  \n",
       "ZZZ3         0.919155  \n",
       "\n",
       "[10265 rows x 6 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Shrink LFCs\n",
    "stat_res.lfc_shrink(coeff='disease_COVID-19_vs_normal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e0c63ef9-722f-4b4c-bc9f-3d7d90402bfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gene_symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A1BG</th>\n",
       "      <td>76.988823</td>\n",
       "      <td>-0.104734</td>\n",
       "      <td>0.124715</td>\n",
       "      <td>-1.167976</td>\n",
       "      <td>0.242817</td>\n",
       "      <td>0.601071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2M</th>\n",
       "      <td>36.821987</td>\n",
       "      <td>-1.073520</td>\n",
       "      <td>0.341650</td>\n",
       "      <td>-3.833088</td>\n",
       "      <td>0.000127</td>\n",
       "      <td>0.006909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2MP1</th>\n",
       "      <td>16.820749</td>\n",
       "      <td>0.012890</td>\n",
       "      <td>0.281526</td>\n",
       "      <td>0.429197</td>\n",
       "      <td>0.667780</td>\n",
       "      <td>0.879254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAS</th>\n",
       "      <td>19.124754</td>\n",
       "      <td>0.042434</td>\n",
       "      <td>0.234584</td>\n",
       "      <td>0.598788</td>\n",
       "      <td>0.549314</td>\n",
       "      <td>0.824622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACS</th>\n",
       "      <td>27.159517</td>\n",
       "      <td>0.087650</td>\n",
       "      <td>0.238030</td>\n",
       "      <td>1.066502</td>\n",
       "      <td>0.286197</td>\n",
       "      <td>0.641886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZXDC</th>\n",
       "      <td>30.408260</td>\n",
       "      <td>-0.070873</td>\n",
       "      <td>0.225258</td>\n",
       "      <td>-0.919275</td>\n",
       "      <td>0.357952</td>\n",
       "      <td>0.699869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZYG11B</th>\n",
       "      <td>111.209724</td>\n",
       "      <td>0.060934</td>\n",
       "      <td>0.220499</td>\n",
       "      <td>0.771492</td>\n",
       "      <td>0.440416</td>\n",
       "      <td>0.759711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZYX</th>\n",
       "      <td>83.020157</td>\n",
       "      <td>0.153903</td>\n",
       "      <td>0.193733</td>\n",
       "      <td>1.478876</td>\n",
       "      <td>0.139173</td>\n",
       "      <td>0.464883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZEF1</th>\n",
       "      <td>904.320129</td>\n",
       "      <td>0.006828</td>\n",
       "      <td>0.173613</td>\n",
       "      <td>0.076748</td>\n",
       "      <td>0.938824</td>\n",
       "      <td>0.985139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3</th>\n",
       "      <td>60.279076</td>\n",
       "      <td>-0.024154</td>\n",
       "      <td>0.194209</td>\n",
       "      <td>-0.296376</td>\n",
       "      <td>0.766943</td>\n",
       "      <td>0.919155</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10265 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               baseMean  log2FoldChange     lfcSE      stat    pvalue  \\\n",
       "gene_symbol                                                             \n",
       "A1BG          76.988823       -0.104734  0.124715 -1.167976  0.242817   \n",
       "A2M           36.821987       -1.073520  0.341650 -3.833088  0.000127   \n",
       "A2MP1         16.820749        0.012890  0.281526  0.429197  0.667780   \n",
       "AAAS          19.124754        0.042434  0.234584  0.598788  0.549314   \n",
       "AACS          27.159517        0.087650  0.238030  1.066502  0.286197   \n",
       "...                 ...             ...       ...       ...       ...   \n",
       "ZXDC          30.408260       -0.070873  0.225258 -0.919275  0.357952   \n",
       "ZYG11B       111.209724        0.060934  0.220499  0.771492  0.440416   \n",
       "ZYX           83.020157        0.153903  0.193733  1.478876  0.139173   \n",
       "ZZEF1        904.320129        0.006828  0.173613  0.076748  0.938824   \n",
       "ZZZ3          60.279076       -0.024154  0.194209 -0.296376  0.766943   \n",
       "\n",
       "                 padj  \n",
       "gene_symbol            \n",
       "A1BG         0.601071  \n",
       "A2M          0.006909  \n",
       "A2MP1        0.879254  \n",
       "AAAS         0.824622  \n",
       "AACS         0.641886  \n",
       "...               ...  \n",
       "ZXDC         0.699869  \n",
       "ZYG11B       0.759711  \n",
       "ZYX          0.464883  \n",
       "ZZEF1        0.985139  \n",
       "ZZZ3         0.919155  \n",
       "\n",
       "[10265 rows x 6 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extract results\n",
    "results_df = stat_res.results_df\n",
    "results_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e5d5baf-24eb-4a28-9f9d-39bd1512a0b2",
   "metadata": {},
   "source": [
    "We can plot the obtained results in a volcano plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "955d3d4f-9fe6-40db-8560-f13aa9fe5935",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dc.plot_volcano_df(results_df, x='log2FoldChange', y='padj', top=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95bf9f18-a0e1-4e31-a146-288d07fa4dcd",
   "metadata": {},
   "source": [
    "After performing DEA, we can use the obtained gene level statistics to perform enrichment analysis. Any statistic can be used,\n",
    "but we recommend using the t-values instead of logFCs since t-values incorporate the significance of change in their value.\n",
    "We will transform the obtained t-values stored in `stats` to a wide matrix so that it can be used by `decoupler`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "28e7b1cb-6ef2-4c1e-a632-6aa4492288a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>gene_symbol</th>\n",
       "      <th>A1BG</th>\n",
       "      <th>A2M</th>\n",
       "      <th>A2MP1</th>\n",
       "      <th>AAAS</th>\n",
       "      <th>AACS</th>\n",
       "      <th>AAGAB</th>\n",
       "      <th>AAK1</th>\n",
       "      <th>AAMDC</th>\n",
       "      <th>AAMP</th>\n",
       "      <th>AAR2</th>\n",
       "      <th>...</th>\n",
       "      <th>ZUP1</th>\n",
       "      <th>ZWILCH</th>\n",
       "      <th>ZWINT</th>\n",
       "      <th>ZXDA</th>\n",
       "      <th>ZXDB</th>\n",
       "      <th>ZXDC</th>\n",
       "      <th>ZYG11B</th>\n",
       "      <th>ZYX</th>\n",
       "      <th>ZZEF1</th>\n",
       "      <th>ZZZ3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>T cell</th>\n",
       "      <td>-1.167976</td>\n",
       "      <td>-3.833088</td>\n",
       "      <td>0.429197</td>\n",
       "      <td>0.598788</td>\n",
       "      <td>1.066502</td>\n",
       "      <td>-0.078202</td>\n",
       "      <td>-0.632685</td>\n",
       "      <td>0.197945</td>\n",
       "      <td>1.466048</td>\n",
       "      <td>-0.45554</td>\n",
       "      <td>...</td>\n",
       "      <td>1.558771</td>\n",
       "      <td>1.360575</td>\n",
       "      <td>3.066991</td>\n",
       "      <td>-1.188454</td>\n",
       "      <td>-2.379188</td>\n",
       "      <td>-0.919275</td>\n",
       "      <td>0.771492</td>\n",
       "      <td>1.478876</td>\n",
       "      <td>0.076748</td>\n",
       "      <td>-0.296376</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 10265 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "gene_symbol      A1BG       A2M     A2MP1      AAAS      AACS     AAGAB  \\\n",
       "T cell      -1.167976 -3.833088  0.429197  0.598788  1.066502 -0.078202   \n",
       "\n",
       "gene_symbol      AAK1     AAMDC      AAMP     AAR2  ...      ZUP1    ZWILCH  \\\n",
       "T cell      -0.632685  0.197945  1.466048 -0.45554  ...  1.558771  1.360575   \n",
       "\n",
       "gene_symbol     ZWINT      ZXDA      ZXDB      ZXDC    ZYG11B       ZYX  \\\n",
       "T cell       3.066991 -1.188454 -2.379188 -0.919275  0.771492  1.478876   \n",
       "\n",
       "gene_symbol     ZZEF1      ZZZ3  \n",
       "T cell       0.076748 -0.296376  \n",
       "\n",
       "[1 rows x 10265 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mat = results_df[['stat']].T.rename(index={'stat': 'T cell'})\n",
    "mat"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4edc0996",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Transcription factor activity inference\n",
    "\n",
    "The first functional analysis we can perform is to infer transcription factor (TF) activities from our transcriptomics data. We will need a gene regulatory network (GRN) and a statistical method.\n",
    "\n",
    "### CollecTRI network\n",
    "[CollecTRI](https://github.com/saezlab/CollecTRI) is a comprehensive resource\n",
    "containing a curated collection of TFs and their transcriptional targets\n",
    "compiled from 12 different resources. This collection provides an increased\n",
    "coverage of transcription factors and a superior performance in identifying\n",
    "perturbed TFs compared to our previous\n",
    "[DoRothEA](https://saezlab.github.io/dorothea/) network and other literature\n",
    "based GRNs. Similar to DoRothEA, interactions are weighted by their mode of\n",
    "regulation (activation or inhibition).\n",
    "\n",
    "For this example we will use the human version (mouse and rat are also\n",
    "available). We can use `decoupler` to retrieve it from `omnipath`. The argument\n",
    "`split_complexes` keeps complexes or splits them into subunits, by default we\n",
    "recommend to keep complexes together.\n",
    "\n",
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note**\n",
    "\n",
    "In this tutorial we use the network CollecTRI, but we could use any other GRN coming from an inference method such as [CellOracle](https://morris-lab.github.io/CellOracle.documentation/), [pySCENIC](https://pyscenic.readthedocs.io/en/latest/) or [SCENIC+](https://scenicplus.readthedocs.io/en/latest/). \n",
    "\n",
    "</div> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "43ad200c-320a-4417-8313-3d2cbfbe7c53",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>source</th>\n",
       "      <th>target</th>\n",
       "      <th>weight</th>\n",
       "      <th>PMID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MYC</td>\n",
       "      <td>TERT</td>\n",
       "      <td>1</td>\n",
       "      <td>10022128;10491298;10606235;10637317;10723141;1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SPI1</td>\n",
       "      <td>BGLAP</td>\n",
       "      <td>1</td>\n",
       "      <td>10022617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SMAD3</td>\n",
       "      <td>JUN</td>\n",
       "      <td>1</td>\n",
       "      <td>10022869;12374795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SMAD4</td>\n",
       "      <td>JUN</td>\n",
       "      <td>1</td>\n",
       "      <td>10022869;12374795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>STAT5A</td>\n",
       "      <td>IL2</td>\n",
       "      <td>1</td>\n",
       "      <td>10022878;11435608;17182565;17911616;22854263;2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43173</th>\n",
       "      <td>NFKB</td>\n",
       "      <td>hsa-miR-143-3p</td>\n",
       "      <td>1</td>\n",
       "      <td>19472311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43174</th>\n",
       "      <td>AP1</td>\n",
       "      <td>hsa-miR-206</td>\n",
       "      <td>1</td>\n",
       "      <td>19721712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43175</th>\n",
       "      <td>NFKB</td>\n",
       "      <td>hsa-miR-21-5p</td>\n",
       "      <td>1</td>\n",
       "      <td>20813833;22387281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43176</th>\n",
       "      <td>NFKB</td>\n",
       "      <td>hsa-miR-224-5p</td>\n",
       "      <td>1</td>\n",
       "      <td>23474441;23988648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43177</th>\n",
       "      <td>AP1</td>\n",
       "      <td>hsa-miR-144</td>\n",
       "      <td>1</td>\n",
       "      <td>23546882</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>43178 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       source          target  weight  \\\n",
       "0         MYC            TERT       1   \n",
       "1        SPI1           BGLAP       1   \n",
       "2       SMAD3             JUN       1   \n",
       "3       SMAD4             JUN       1   \n",
       "4      STAT5A             IL2       1   \n",
       "...       ...             ...     ...   \n",
       "43173    NFKB  hsa-miR-143-3p       1   \n",
       "43174     AP1     hsa-miR-206       1   \n",
       "43175    NFKB   hsa-miR-21-5p       1   \n",
       "43176    NFKB  hsa-miR-224-5p       1   \n",
       "43177     AP1     hsa-miR-144       1   \n",
       "\n",
       "                                                    PMID  \n",
       "0      10022128;10491298;10606235;10637317;10723141;1...  \n",
       "1                                               10022617  \n",
       "2                                      10022869;12374795  \n",
       "3                                      10022869;12374795  \n",
       "4      10022878;11435608;17182565;17911616;22854263;2...  \n",
       "...                                                  ...  \n",
       "43173                                           19472311  \n",
       "43174                                           19721712  \n",
       "43175                                  20813833;22387281  \n",
       "43176                                  23474441;23988648  \n",
       "43177                                           23546882  \n",
       "\n",
       "[43178 rows x 4 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Retrieve CollecTRI gene regulatory network\n",
    "collectri = dc.get_collectri(organism='human', split_complexes=False)\n",
    "collectri"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fa1ad1a-5cf4-4d78-994d-f1f3b424e16d",
   "metadata": {},
   "source": [
    "### Activity inference with Univariate Linear Model (ULM)\n",
    "\n",
    "To infer TF enrichment scores we will run the Univariate Linear Model (`ulm`) method. For each sample in our dataset (`mat`) and each TF in our network (`net`), it fits a linear model that predicts the observed gene expression\n",
    "based solely on the TF's TF-Gene interaction weights. Once fitted, the obtained t-value of the slope is the score. If it is positive, we interpret that the TF is active and if it is negative we interpret that it is inactive.\n",
    "\n",
    "<img src=\"../ulm.png\" />\n",
    "\n",
    "We can run `ulm` with a one-liner:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8b637a55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ABL1</th>\n",
       "      <th>AHR</th>\n",
       "      <th>AIRE</th>\n",
       "      <th>AP1</th>\n",
       "      <th>APEX1</th>\n",
       "      <th>AR</th>\n",
       "      <th>ARID3B</th>\n",
       "      <th>ARID4A</th>\n",
       "      <th>ARID5B</th>\n",
       "      <th>ARNT</th>\n",
       "      <th>...</th>\n",
       "      <th>ZNF350</th>\n",
       "      <th>ZNF354C</th>\n",
       "      <th>ZNF362</th>\n",
       "      <th>ZNF382</th>\n",
       "      <th>ZNF384</th>\n",
       "      <th>ZNF395</th>\n",
       "      <th>ZNF436</th>\n",
       "      <th>ZNF699</th>\n",
       "      <th>ZNF76</th>\n",
       "      <th>ZNF91</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>T cell</th>\n",
       "      <td>0.634269</td>\n",
       "      <td>1.434224</td>\n",
       "      <td>-1.514172</td>\n",
       "      <td>-0.895505</td>\n",
       "      <td>0.186299</td>\n",
       "      <td>0.227884</td>\n",
       "      <td>-0.409649</td>\n",
       "      <td>-0.001302</td>\n",
       "      <td>1.010411</td>\n",
       "      <td>-0.401895</td>\n",
       "      <td>...</td>\n",
       "      <td>0.671746</td>\n",
       "      <td>-1.922299</td>\n",
       "      <td>0.962258</td>\n",
       "      <td>0.20092</td>\n",
       "      <td>-1.555718</td>\n",
       "      <td>1.164891</td>\n",
       "      <td>0.470113</td>\n",
       "      <td>-0.130263</td>\n",
       "      <td>1.683986</td>\n",
       "      <td>-1.268399</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 547 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            ABL1       AHR      AIRE       AP1     APEX1        AR    ARID3B  \\\n",
       "T cell  0.634269  1.434224 -1.514172 -0.895505  0.186299  0.227884 -0.409649   \n",
       "\n",
       "          ARID4A    ARID5B      ARNT  ...    ZNF350   ZNF354C    ZNF362  \\\n",
       "T cell -0.001302  1.010411 -0.401895  ...  0.671746 -1.922299  0.962258   \n",
       "\n",
       "         ZNF382    ZNF384    ZNF395    ZNF436    ZNF699     ZNF76     ZNF91  \n",
       "T cell  0.20092 -1.555718  1.164891  0.470113 -0.130263  1.683986 -1.268399  \n",
       "\n",
       "[1 rows x 547 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Infer pathway activities with ulm\n",
    "tf_acts, tf_pvals = dc.run_ulm(mat=mat, net=collectri)\n",
    "tf_acts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3edd3b8",
   "metadata": {},
   "source": [
    "Let us plot the obtained scores for the top active/inactive transcription factors:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0ce049bd-3310-46a5-8531-50647d120db1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 700x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dc.plot_barplot(tf_acts, 'T cell', top=25, vertical=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56cf7cfe",
   "metadata": {},
   "source": [
    "In accordance to the previous pathway results, T cells seem to activate for TFs responsible for cell growth (E2F4, TFDP1, E2F1)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b3243b4",
   "metadata": {},
   "source": [
    "Like with pathways, we can explore how the target genes look like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "76c27d9b-e0e8-41db-92a4-a5e0a28fc994",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 700x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extract logFCs and pvals\n",
    "logFCs = results_df[['log2FoldChange']].T.rename(index={'log2FoldChange': 'T cell'})\n",
    "pvals = results_df[['padj']].T.rename(index={'padj': 'T cell'})\n",
    "\n",
    "# Plot\n",
    "dc.plot_volcano(logFCs, pvals, 'T cell', name='E2F4', net=collectri, top=10, sign_thr=0.05, lFCs_thr=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "325fc36f",
   "metadata": {},
   "source": [
    "## Pathway activity inference\n",
    "\n",
    "Another analysis we can perform is to infer pathway activities from our transcriptomics data.\n",
    "\n",
    "### PROGENy model\n",
    "\n",
    "[PROGENy](https://saezlab.github.io/progeny/) is a comprehensive resource containing a curated collection of pathways and their target genes, with weights for each interaction.\n",
    "For this example we will use the human weights (other organisms are available) and we will use the top 500 responsive genes ranked by p-value. Here is a brief description of each pathway:\n",
    "\n",
    "- **Androgen**: involved in the growth and development of the male reproductive organs.\n",
    "- **EGFR**: regulates growth, survival, migration, apoptosis, proliferation, and differentiation in mammalian cells\n",
    "- **Estrogen**: promotes the growth and development of the female reproductive organs.\n",
    "- **Hypoxia**: promotes angiogenesis and metabolic reprogramming when O2 levels are low.\n",
    "- **JAK-STAT**: involved in immunity, cell division, cell death, and tumor formation.\n",
    "- **MAPK**: integrates external signals and promotes cell growth and proliferation.\n",
    "- **NFkB**: regulates immune response, cytokine production and cell survival.\n",
    "- **p53**: regulates cell cycle, apoptosis, DNA repair and tumor suppression.\n",
    "- **PI3K**: promotes growth and proliferation.\n",
    "- **TGFb**: involved in development, homeostasis, and repair of most tissues.\n",
    "- **TNFa**: mediates haematopoiesis, immune surveillance, tumour regression and protection from infection.\n",
    "- **Trail**: induces apoptosis.\n",
    "- **VEGF**: mediates angiogenesis, vascular permeability, and cell migration.\n",
    "- **WNT**: regulates organ morphogenesis during development and tissue repair.\n",
    "\n",
    "To access it we can use `decoupler`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7ac9598d-d980-4f83-a018-c0e783babe85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>source</th>\n",
       "      <th>target</th>\n",
       "      <th>weight</th>\n",
       "      <th>p_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Androgen</td>\n",
       "      <td>TMPRSS2</td>\n",
       "      <td>11.490631</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Androgen</td>\n",
       "      <td>NKX3-1</td>\n",
       "      <td>10.622551</td>\n",
       "      <td>2.242078e-44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Androgen</td>\n",
       "      <td>MBOAT2</td>\n",
       "      <td>10.472733</td>\n",
       "      <td>4.624285e-44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Androgen</td>\n",
       "      <td>KLK2</td>\n",
       "      <td>10.176186</td>\n",
       "      <td>1.944414e-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Androgen</td>\n",
       "      <td>SARG</td>\n",
       "      <td>11.386852</td>\n",
       "      <td>2.790209e-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6995</th>\n",
       "      <td>p53</td>\n",
       "      <td>ZMYM4</td>\n",
       "      <td>-2.325752</td>\n",
       "      <td>1.522388e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6996</th>\n",
       "      <td>p53</td>\n",
       "      <td>CFDP1</td>\n",
       "      <td>-1.628168</td>\n",
       "      <td>1.526045e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6997</th>\n",
       "      <td>p53</td>\n",
       "      <td>VPS37D</td>\n",
       "      <td>2.309503</td>\n",
       "      <td>1.537098e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6998</th>\n",
       "      <td>p53</td>\n",
       "      <td>TEDC1</td>\n",
       "      <td>-2.274823</td>\n",
       "      <td>1.547037e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6999</th>\n",
       "      <td>p53</td>\n",
       "      <td>CCDC138</td>\n",
       "      <td>-3.205113</td>\n",
       "      <td>1.568160e-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        source   target     weight       p_value\n",
       "0     Androgen  TMPRSS2  11.490631  0.000000e+00\n",
       "1     Androgen   NKX3-1  10.622551  2.242078e-44\n",
       "2     Androgen   MBOAT2  10.472733  4.624285e-44\n",
       "3     Androgen     KLK2  10.176186  1.944414e-40\n",
       "4     Androgen     SARG  11.386852  2.790209e-40\n",
       "...        ...      ...        ...           ...\n",
       "6995       p53    ZMYM4  -2.325752  1.522388e-06\n",
       "6996       p53    CFDP1  -1.628168  1.526045e-06\n",
       "6997       p53   VPS37D   2.309503  1.537098e-06\n",
       "6998       p53    TEDC1  -2.274823  1.547037e-06\n",
       "6999       p53  CCDC138  -3.205113  1.568160e-06\n",
       "\n",
       "[7000 rows x 4 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Retrieve PROGENy model weights\n",
    "progeny = dc.get_progeny(top=500)\n",
    "progeny"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1799e15d-4656-474c-bf71-9a04a47c3db6",
   "metadata": {},
   "source": [
    "### Activity inference with Multivariate Linear Model (MLM)\n",
    "\n",
    "To infer pathway enrichment scores we will run the Multivariate Linear Model (`mlm`) method. For each sample in our dataset (`adata`), it fits a linear model that predicts the observed gene expression based on all pathways' Pathway-Gene interactions weights.\n",
    "Once fitted, the obtained t-values of the slopes are the scores. If it is positive, we interpret that the pathway is active and if it is negative we interpret that it is inactive.\n",
    "\n",
    "<img src=\"../mlm.png\" />\n",
    "     \n",
    "We can run `mlm` with a one-liner:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b16ba03a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Androgen</th>\n",
       "      <th>EGFR</th>\n",
       "      <th>Estrogen</th>\n",
       "      <th>Hypoxia</th>\n",
       "      <th>JAK-STAT</th>\n",
       "      <th>MAPK</th>\n",
       "      <th>NFkB</th>\n",
       "      <th>PI3K</th>\n",
       "      <th>TGFb</th>\n",
       "      <th>TNFa</th>\n",
       "      <th>Trail</th>\n",
       "      <th>VEGF</th>\n",
       "      <th>WNT</th>\n",
       "      <th>p53</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>T cell</th>\n",
       "      <td>-0.684558</td>\n",
       "      <td>1.275978</td>\n",
       "      <td>1.854465</td>\n",
       "      <td>-6.223111</td>\n",
       "      <td>8.980184</td>\n",
       "      <td>-1.105374</td>\n",
       "      <td>-6.156748</td>\n",
       "      <td>-0.516053</td>\n",
       "      <td>-2.077966</td>\n",
       "      <td>1.624201</td>\n",
       "      <td>0.065435</td>\n",
       "      <td>0.204099</td>\n",
       "      <td>0.508112</td>\n",
       "      <td>-1.766562</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Androgen      EGFR  Estrogen   Hypoxia  JAK-STAT      MAPK      NFkB  \\\n",
       "T cell -0.684558  1.275978  1.854465 -6.223111  8.980184 -1.105374 -6.156748   \n",
       "\n",
       "            PI3K      TGFb      TNFa     Trail      VEGF       WNT       p53  \n",
       "T cell -0.516053 -2.077966  1.624201  0.065435  0.204099  0.508112 -1.766562  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Infer pathway activities with mlm\n",
    "pathway_acts, pathway_pvals = dc.run_mlm(mat=mat, net=progeny)\n",
    "pathway_acts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2a4bd5d",
   "metadata": {},
   "source": [
    "Let us plot the obtained scores:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "99bb82b3-e30d-4438-8910-763ec27a14b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjoAAAHXCAYAAAC1evABAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAA9hAAAPYQGoP6dpAABUyklEQVR4nO3deXhM9/4H8PeZkElEEkGQMCQRaq0t9jWo2qv6o3VtEdRO0Vbc1tpKqF5Vy7VUYqugllpLaexbbZVSJFJLUxFUyUSQxMz390eauZlswpwzc4z363nO85gzc87nE1nmM99VEkIIEBEREdkhja0TICIiIlIKCx0iIiKyW4VsnYBSjEYjEhIS4OrqCkmSbJ0OERHRcxFCIDk5Gd7e3tBolG+XePLkCdLS0mS5l6OjI5ycnGS5l6XsttBJSEiATqezdRpEREQWiY+PR7ly5RSN8eTJE3g7F8V9GGS5X5kyZXDt2jVVFDt2W+i4uroCyPgBcXNzs3E2REREz0ev10On05nez5SUlpaG+zBghYMvilg4quURjAhKvIa0tDQWOkrK7K5yc3NjoUNERC8taw6/cCnsgCKSg0X3kIQBMjUMycJuCx0iIiJ6PlIhCRoLCytJqGtcLGddERERkd1iiw4REREBAKTCGkiSZW0gksrWIWahQ0RERAAAjYMEjcayrieNkV1XRERERFbBFh0iIiICAEiFJUgWtuhIKmvRYaFDREREAABNIXZdEREREb002KJDREREANh1RURERHZM4yBB42Bh15VBXYUOu66IiIjIbrFFh4iIiAAAkoMEycIWHQnqatFhoUNEREQAZOq6Ulmhw64rIiIislts0SEiIiIAgKSRYdaVynYvZ6FDRERUQDsLv6Z4jE7pMYrHyIvkoIHkYOGmnni+TT0NBgOmTp2Kb7/9FomJifD29kZQUBA+/fRTSJLlRRMLHSIiIrKZWbNmYdGiRVi5ciWqV6+O06dPY8CAAXB3d8fo0aMtvj8LHSIiIgIg72BkvV5vdl6r1UKr1eZ4/bFjx/DWW2+hU6dOAAAfHx+sXbsWJ0+etCiP/+VDREREBECSJNM4nRc+/ulu0ul0cHd3Nx1hYWG5xmzSpAmioqIQGxsLAIiOjsaRI0fQoUMHWb4mtugQERGR7OLj4+Hm5mZ6nFtrDgCEhIRAr9ejSpUqcHBwgMFgwIwZM9C7d29Z8mChQ0RERAAAyQEWd11J/4xFdnNzMyt08vLdd99hzZo1iIyMRPXq1XHu3Dl88MEH8Pb2Rv/+/S3KBWChQ0RERP+QZWXk55xe/tFHHyEkJATvvfceAKBmzZq4ceMGwsLCZCl0OEaHiIiIbObRo0fQaMzLEQcHBxiNRlnuzxYdIiIiAgBIGg0kjYXr6Dzn9V26dMGMGTNQvnx5VK9eHb/88gvmzJmD4OBgi/LIxEKHiIiIAMi0MvJzXj9//nxMmjQJw4cPx507d+Dt7Y0hQ4Zg8uTJFuWRiYUOERER2Yyrqyvmzp2LuXPnKnJ/FjpEREQEQKYFA7nXFREREamRLbqulMZZV0RERGS32KJDREREAABJkmHWlaSuNhQWOkRERASAXVdERERELxW26BAREREAmWZdGdXVosNCh4iIiACw68pqDAYDJk2aBF9fXzg7O6NixYr47LPPIISwdWpERET0ElFli86sWbOwaNEirFy5EtWrV8fp06cxYMAAuLu7Y/To0bZOj4iIyC7ZYq8rpamy0Dl27BjeeustdOrUCQDg4+ODtWvX4uTJk3lek5qaitTUVNNjvV6veJ5ERET2hF1XVtKkSRNERUUhNjYWABAdHY0jR46gQ4cOeV4TFhYGd3d306HT6ayVLhEREamUKlt0QkJCoNfrUaVKFTg4OMBgMGDGjBno3bt3ntdMnDgR48aNMz3W6/UsdoiIiJ6DPbboqLLQ+e6777BmzRpERkaievXqOHfuHD744AN4e3ujf//+uV6j1Wqh1WqtnCkREZH9YKFjJR999BFCQkLw3nvvAQBq1qyJGzduICwsLM9Ch4iIiCg7VRY6jx49gibbqG0HBwcYjUYbZURERGT/Mlp0LJ11xRadZ+rSpQtmzJiB8uXLo3r16vjll18wZ84cBAcH2zo1IiIiuyVpLF8ZWTKw0Hmm+fPnY9KkSRg+fDju3LkDb29vDBkyBJMnT7Z1akRERPQSUWWh4+rqirlz52Lu3Lm2ToWIiOiVwcHIREREZLfscWVkdWVDREREJCO26BAREREAdl0RERGRHbPHQoddV0RERGS32KJDREREAOxzMDILHSIiIgLArisiIiKilwpbdIiIiAgAu66IiIjInklSxmHpPVREXWUXERERkYzYokNEREQAAEmSYTAyW3SIiIhIjTLH6Fh6PK+bN2+iT58+KFGiBJydnVGzZk2cPn1alq+JLTpERERkM/fv30fTpk0RGBiIXbt2wdPTE1euXIGHh4cs92ehQ0RERABss47OrFmzoNPpsHz5ctM5X19fi3LIil1XREREBEDeriu9Xm92pKam5hpz27ZtCAgIQI8ePVCqVCnUqVMH33zzjWxfEwsdIiIikp1Op4O7u7vpCAsLy/V1V69exaJFi1CpUiX8+OOPGDZsGEaPHo2VK1fKkge7roiIiAgAIGks38JB+qcJJT4+Hm5ubqbzWq0219cbjUYEBAQgNDQUAFCnTh1cuHABixcvRv/+/S3KBWChQ0RERP+Qc4yOm5ubWaGTFy8vL1SrVs3sXNWqVbFp0yaL8sjErisiIiKymaZNmyImJsbsXGxsLCpUqCDL/dmiQ0RERBk0mozD0ns8h7Fjx6JJkyYIDQ1Fz549cfLkSSxduhRLly61LI/MdGS5CxEREb30JEmS5Xge9evXx/fff4+1a9eiRo0a+OyzzzB37lz07t1blq+JLTpERERkU507d0bnzp0VuTcLHSIiIgKAF97CIfs91ISFDhEREQGwzcrISlNX2UVEREQkI7boEBERUQZJhllXkrraUFjoEBERUQYZuq7ArisiIiIi62CLDhEREQEAJEkDycKuJ0uvlxsLHSIiIsqgkSzvemLXFREREZF1sEWHiIiIAHDBQCIiIrJjXDCQiIiI6CWi2kLn5s2b6NOnD0qUKAFnZ2fUrFkTp0+ftnVaRERE9kuSMhb8s+hQV4uOKruu7t+/j6ZNmyIwMBC7du2Cp6cnrly5Ag8PD1unRkREZLfssetKlYXOrFmzoNPpsHz5ctM5X1/ffK9JTU1Famqq6bFer1csPyIiIno5qLLratu2bQgICECPHj1QqlQp1KlTB998802+14SFhcHd3d106HQ6K2VLRERkJzQaeQ4VUVc2/7h69SoWLVqESpUq4ccff8SwYcMwevRorFy5Ms9rJk6ciKSkJNMRHx9vxYyJiIhefpIkyXKoiSq7roxGIwICAhAaGgoAqFOnDi5cuIDFixejf//+uV6j1Wqh1WqtmSYRERGpnCpbdLy8vFCtWjWzc1WrVsUff/xho4yIiIheAZIM3Vbc6+rZmjZtipiYGLNzsbGxqFChgo0yIiIisn/2OOtKXWXXP8aOHYsTJ04gNDQUcXFxiIyMxNKlSzFixAhbp0ZEREQvEVUWOvXr18f333+PtWvXokaNGvjss88wd+5c9O7d29apERER2S+LFwtk11WBde7cGZ07d7Z1GkRERK8OjZRxWHoPFVFX2UVEREQkI9W26BAREZF1SZIGkoVdT5ZeLzcWOkRERJSBXVdERERELw+26BAREREAQNJoIFm4V5Wl18uNhQ4RERFlkKSMw9J7qIi6yi4iIiIiGbFFh4iIiDJopIz9qiy9h4qw0CEiIqIM7LoiIiIiUs7MmTMhSRI++OADWe7HFh0iIiICYPtZV6dOncKSJUvw+uuvW5RDVmzRISIiogw23NTz4cOH6N27N7755ht4eHjI9iWx0CEiIiLZ6fV6syM1NTXf148YMQKdOnVC27ZtZc2DhQ4RERFlkKT/bQPxosc/g5F1Oh3c3d1NR1hYWJ5h161bh7Nnz+b7mhfFMTpEREQEQN5NPePj4+Hm5mY6r9Vqc319fHw8xowZg71798LJycmi2LlhoUNERESyc3NzMyt08nLmzBncuXMHdevWNZ0zGAw4dOgQFixYgNTUVDg4OLxwHix0iIiIKIMNdi9v06YNzp8/b3ZuwIABqFKlCiZMmGBRkQOw0CEiIqJMFsyaMrvHc3B1dUWNGjXMzrm4uKBEiRI5zr8IDkYmIiIiu8UWHSIiIsqgki0gDhw4YPE9MrHQISIiogwajQybeqqrs0hd2RARERHJiC06RERElMEGg5GVxkKHiIiIMthgernS1FV2EREREcmILTpERESUQZJk6LpSV4sOCx0iIiLKoJLp5XJi1xURERHZLbboEBERUQY7XEeHhQ4RERFlYNcVERER0cuDLTpERESUgQsGEhERkd2SZBijo7JCR13ZEBEREcmILTpERESUgYORbWPmzJmQJAkffPCBrVMhIiKyX5ljdCw9VERd2eTi1KlTWLJkCV5//XVbp0JEREQvGVUXOg8fPkTv3r3xzTffwMPDI9/XpqamQq/Xmx1ERET0HDK7riw9VETVhc6IESPQqVMntG3b9pmvDQsLg7u7u+nQ6XRWyJCIiMiOZK6MbOmhIurKJot169bh7NmzCAsLK9DrJ06ciKSkJNMRHx+vcIZERESkdqqcdRUfH48xY8Zg7969cHJyKtA1Wq0WWq1W4cyIiIjsl5AkCAu7niy9Xm6qLHTOnDmDO3fuoG7duqZzBoMBhw4dwoIFC5CamgoHBwcbZkhERGSHJEmGlZFZ6DxTmzZtcP78ebNzAwYMQJUqVTBhwgQWOURERFQgqix0XF1dUaNGDbNzLi4uKFGiRI7zREREJBPudUVERET2imN0bOjAgQO2ToGIiIheMi9NoUNEREQKY9cVERER2S1u6klERET08mCLDhEREWWQYwsHlW0BwUKHiIiIANjnrCt1lV1EREREMmKhQ0RERBkyZ11ZejyHsLAw1K9fH66urihVqhS6deuGmJgY2b4kFjpEREQEABCSRpbjeRw8eBAjRozAiRMnsHfvXqSnp6Ndu3ZISUmR5WviGB0iIiKymd27d5s9XrFiBUqVKoUzZ86gRYsWFt+fhQ4RERFlkHEdHb1eb3Zaq9VCq9U+8/KkpCQAQPHixS3L4x/suiIiIiIAgIAMXVf/lBY6nQ7u7u6mIyws7JnxjUYjPvjgAzRt2lS2TbzZokNERESyi4+Ph5ubm+lxQVpzRowYgQsXLuDIkSOy5cFCh4iIiDLI2HXl5uZmVug8y8iRI7Fjxw4cOnQI5cqVsyyHLFjoEBERUQZJkmFTz+crlIQQGDVqFL7//nscOHAAvr6+lsXPhoUOERER2cyIESMQGRmJrVu3wtXVFYmJiQAAd3d3ODs7W3x/DkYmIiIiAP/bAsLS43ksWrQISUlJaNWqFby8vEzH+vXrZfma2KJDREREGV5gZeNc7/EchBCWxXsGtugQERGR3WKLDhEREQEABCQIWLh7uYXXy42FDhEREQH4315Xlt5DTdSVDREREZGM2KJDREREGWwwGFlpLHSIiIgIAF5oenhu91ATdZVdRERERDJiiw4REREBsM/ByCx0iIiIKIOMm3qqhbrKLiIiIiIZsUWHiIiIMsjQdcVZV0RERKRK9rgysrrKLiIiIiIZ5VvoTJkyBTdu3LBWLkRERGRDmbOuLD3UJN9stm7diooVK6JNmzaIjIxEamqqtfIiIiIia5Pwv5lXL3zY+oswl2+hc+7cOZw6dQrVq1fHmDFjUKZMGQwbNgynTp2yVn5EREREL+yZ7Ut16tTBvHnzkJCQgPDwcPz5559o2rQpXn/9dXz99ddISkqyRp5ERESkMAGNLIeaFDgbIQTS09ORlpYGIQQ8PDywYMEC6HQ6rF+/XskciYiIyAoy97qy9FCTZxY6Z86cwciRI+Hl5YWxY8eiTp06uHTpEg4ePIgrV65gxowZGD16tKxJhYWFoX79+nB1dUWpUqXQrVs3xMTEyBqDiIiI7F++hU7NmjXRqFEjXLt2DeHh4YiPj8fMmTPh7+9vek2vXr1w9+5dWZM6ePAgRowYgRMnTmDv3r1IT09Hu3btkJKSImscIiIi+h97nHWV74KBPXv2RHBwMMqWLZvna0qWLAmj0ShrUrt37zZ7vGLFCpQqVQpnzpxBixYtcr0mNTXVbFaYXq+XNSciIiJ798otGJg5Fie7x48fY/r06YollV3mgOfixYvn+ZqwsDC4u7ubDp1OZ630iIiISKUkIYTI60kHBwfcunULpUqVMjt/7949lCpVCgaDQfEEjUYjunbtigcPHuDIkSN5vi63Fh2dToekpCS4ubkpnicREdm/nYVfUzxGp/SMMal6vR7u7u5WeR/LjHX59FG4Fi1q0b2SHz5ElYCmqnn/zbfrSggBKZfR09HR0fm2rshpxIgRuHDhQr5FDgBotVpotVqr5ERERGSP5Jg1pbZZV7kWOh4eHpAkCZIkoXLlymbFjsFgwMOHDzF06FDFkxs5ciR27NiBQ4cOoVy5corHIyIiIvuSa6Ezd+5cCCEQHByMadOmwd3d3fSco6MjfHx80LhxY8WSEkJg1KhR+P7773HgwAH4+voqFouIiF4uyad+UDyGa/2OisdQI3scjJxrodO/f38AgK+vL5o0aYLChQtbNakRI0YgMjISW7duhaurKxITEwEA7u7ucHZ2tmouRERE9PLKUejo9XrT4KE6derg8ePHePz4ca4XKzXIaNGiRQCAVq1amZ1fvnw5goKCFIlJRET0qpNjHRzVr6Pj4eFhmmlVrFixXAcjZw5SVmrWVT4TwYiIiEghr0TX1b59+0wzqvbt25droUNERET0MshR6LRs2dL07+xdR0RERACgP7tX8Rhudd9QPAaZE5Ch6+pl2r28UqVKmDp1Kq5cuWKtfIiIiMhGMruuLD3UJN9CZ/jw4di5cyeqVKmC+vXr4+uvvzbNgCIiIiKSy8KFC+Hj4wMnJyc0bNgQJ0+elOW++RY6Y8eOxalTp3Dp0iV07NgRCxcuhE6nQ7t27bBq1SpZEiAiIiJ1yFgZ2dLdy5+/RWf9+vUYN24cpkyZgrNnz6JWrVp48803cefOHYu/pgJ1pFWuXBnTpk1DbGwsDh8+jLt372LAgAEWByciIiL1sFXX1Zw5czB48GAMGDAA1apVw+LFi1GkSBFERERY/DXlu9dVVidPnkRkZCTWr18PvV6PHj16WByciIiI7JNerzd7nNeelGlpaThz5gwmTpxoOqfRaNC2bVscP37c4jzybdGJjY3FlClTULlyZTRt2hSXLl3CrFmzcPv2baxbt87i4ERERKQemZt6WnoAgE6ng7u7u+kICwvLNeZff/0Fg8GA0qVLm50vXbq0LOOC823RyRyEPGLECLz33ns5kiAiIiL7IYQEISxcMPCf6+Pj4812UMitNcca8i10YmJiUKlSJWvlQkREz+HvXw8rHqP4680Vj0H2yc3NrUBbRZUsWRIODg64ffu22fnbt2+jTJkyFufxzHV0iIiI6FWhyVg00IKjgPOcTBwdHVGvXj1ERUWZzhmNRkRFRaFx48YWf0U5WnSKFy+O2NhYlCxZEh4eHvluAfH3339bnAARERGpg632uho3bhz69++PgIAANGjQAHPnzkVKSoosM7xzFDpfffUVXF1dTf/mXldERESkpHfffRd3797F5MmTkZiYiNq1a2P37t2yjA3OUej079/f9O+goCCLAxAREdHLwZa7l48cORIjR460KHZu8u1Ic3BwyHVVwnv37sHBwUH2ZIiIiMh2Xrm9roQQuZ5PTU2Fo6OjIgkRERERySXX6eXz5s0DAEiShGXLlqFo0aKm5wwGAw4dOoQqVapYJ0MiIiKyClt2XSkl10Lnq6++ApDRorN48WKzbipHR0f4+Phg8eLF1smQiIiIrELOBQPVItdC59q1awCAwMBAbN68GR4eHlZNioiIiEgO+a6MvH//fmvlQURERDZmj11X+Q5GfueddzBr1qwc57/44gvuXk5ERGRnXrlZV4cOHULHjh1znO/QoQMOHTqkWFJEREREcsi36+rhw4e5TiMvXLgw9Hq9YkkRERGR9b1yXVc1a9bE+vXrc5xft24dqlWrplhSREREZH0Ckmnm1QsfKit08m3RmTRpErp3747ff/8drVu3BgBERUUhMjISGzdutEqCRERERC8q30KnS5cu2LJlC0JDQ7Fx40Y4OzujVq1a2LdvH4oXL26tHImIiMgKjJBgtLBFxtLr5ZZvoQMAnTp1QqdOnQAAer0ea9euxYcffogzZ87AYDAoniARERFZhz2O0XlmoQNkzL4KDw/Hpk2b4O3tje7du2PhwoVK50ZEpHo3Y88rHqNs5ZqKxyCyV3kWOomJiVixYgXCw8Oh1+vRs2dPpKamYsuWLRyITEREZIfscQuIXGdddenSBa+99hp+/fVXzJ07FwkJCZg/f761cyMiIiIrEpBj0UB1ybVFZ9euXRg9ejSGDRuGSpUqWTsnIiIiIlnk2qJz5MgRJCcno169emjYsCEWLFiAv/76y9q5ERERkRVZvIaODF1fcsu10GnUqBG++eYb3Lp1C0OGDMG6devg7e0No9GIvXv3Ijk52dp5EhERkcJeub2uXFxcEBwcjCNHjuD8+fMYP348Zs6ciVKlSqFr167WypGIiIjohRRoejkAvPbaa/jiiy8QFhaG7du3IyIiQsm8iIgK7HpcrOIxfPwrKx6DyNZemVlX+XFwcEC3bt2wbds2JfIxs3DhQvj4+MDJyQkNGzbEyZMnFY9JRET0qhIAjBYeapt19dyFjrWsX78e48aNw5QpU3D27FnUqlULb775Ju7cuWPr1IiIiOglUeCuK2ubM2cOBg8ejAEDBgAAFi9ejJ07dyIiIgIhISE5Xp+amorU1FTTY71eb7VciQi4+vvvisfwq1hR8RhErzJ77LpSZaGTlpaGM2fOYOLEiaZzGo0Gbdu2xfHjx3O9JiwsDNOmTcvzns26HJQ9z+yObG+Z6/nmbx1WPPbhrc1zPb/hhFHx2D0a5d4wuP3MU8Vjd6mX+4/w0YsPFY/dtFrRXM+fjb2neOy6lUvkev583G3FY9f0L53reVsWIbYcP2PL7RmKv5777701uNV9w2axXet3tFnsTukxNottDfa415Uqu67++usvGAwGlC5t/ge1dOnSSExMzPWaiRMnIikpyXTEx8dbI1UiIiJSMVW26LwIrVYLrVZr6zSIiIheWuy6spKSJUvCwcEBt2+bN8Pfvn0bZcqUsVFWRERE9o1dV1bi6OiIevXqISoqynTOaDQiKioKjRs3tmFmRERE9DJRZYsOAIwbNw79+/dHQEAAGjRogLlz5yIlJcU0C4uIiIjkZRQZh6X3UBPVFjrvvvsu7t69i8mTJyMxMRG1a9fG7t27cwxQJiIiInnYY9eVagsdABg5ciRGjhxp6zSIiIjoJaXqQoeIiIish7OuiIiIyG4JkXFYeg81UeWsKyIiIiI5sEWHiIiIAABGSDBaOJjY0uvlxkKHyI7ktQ8VEVFB2OMYHXZdERERkd1iiw4REREBsM/ByCx0iIiICAAXDCSiAqhbuYStUyAion+w0CEiIiIA3OuKiIiI7JkMs67AWVdERERE1sEWHSIiIgLAWVdERERkx+xxZWR2XREREZHdYosOERERAWDXFREREdkx7nVFRERE9BJhiw7ZpabVito6BSKil449LhjIFh0iIiIC8L8xOpYeSrh+/ToGDhwIX19fODs7o2LFipgyZQrS0tLyvY4tOkRERKR6ly9fhtFoxJIlS+Dv748LFy5g8ODBSElJwZdffpnndSx0iIiICIC8u5fr9Xqz81qtFlqt9oXv2759e7Rv39702M/PDzExMVi0aFG+hQ67roiIiAgAYMT/xum88PHPvXQ6Hdzd3U1HWFiY7PkmJSWhePHi+b6GLTpEREQku/j4eLi5uZkeW9Kak5u4uDjMnz8/39YcgC06RERE9A85ByO7ubmZHXkVOiEhIZAkKd/j8uXLZtfcvHkT7du3R48ePTB48OB8vya26BAREREA26yMPH78eAQFBeX7Gj8/P9O/ExISEBgYiCZNmmDp0qXPvD8LHSIiIrIZT09PeHp6Fui1N2/eRGBgIOrVq4fly5dDo3l2xxQLHSIiIgIAGIUEo4VbOFh6fV5u3ryJVq1aoUKFCvjyyy9x9+5d03NlypTJ8zoWOkRERARA3Zt67t27F3FxcYiLi0O5cuWyxcw7KAcjExERkeoFBQVBCJHrkR+26BAREREAdbfovCgWOkRERAQgo0ixdFNOtRU67LoiIiIiu8UWHVJMl3r88SIiepkIIUFYOGvK0uvlxnciIiIiAmCfY3RU13V1/fp1DBw4EL6+vnB2dkbFihUxZcoUpKWl2To1IiIiesmorkXn8uXLMBqNWLJkCfz9/XHhwgUMHjwYKSkpz9y4i4iIiF6cUYbByJZeLzfVFTrt27dH+/btTY/9/PwQExODRYsW5VvopKamIjU11fRYr9crmicREZG9YdeVjSQlJaF48eL5viYsLAzu7u6mQ6fTWSk7IiIiUivVFzpxcXGYP38+hgwZku/rJk6ciKSkJNMRHx9vpQyJiIjsQ2aLjqWHmlit6yokJASzZs3K9zWXLl1ClSpVTI9v3ryJ9u3bo0ePHhg8eHC+12q1Wmi1WllytSc9Gqm+liUiIpXgGB0LjB8/HkFBQfm+xs/Pz/TvhIQEBAYGokmTJli6dKnC2REREZE9slqh4+npCU9PzwK99ubNmwgMDES9evWwfPlyaDRslSAiIlKaPQ5GVt2sq5s3b6JVq1aoUKECvvzyS9y9e9f0XJkyZWyYGRERkX0zGjMOS++hJqordPbu3Yu4uDjExcWhXLlyZs89ayt2IiIioqxU1ycUFBQEIUSuBxERESmHs66IiIjIbtnjGB3VtegQERERyYUtOkRERAQAMEKGdXRkyUQ+LHSIiIgIAGQZE6u2MbXsuiIiIiK7xRYdIiIiAmCfg5FZ6BAREREAQMiwYKBQ2SAddl0RERGR3WKLDhEREQFg1xURERHZMaOQYXq5ygoddl0RERGR3WKLDhEREQFg1xURERHZMWEUEBb2PVl6vdzYdUVERER2iy06REREBMA+ByOz0CEiIiIA9jlGh11XREREZLfYokNEREQAAKNRwGhh35Ol18uNhQ4REREBYNcVERER0UuFLTpEREQEwD5bdFjoEBEREQDAKASMFlYqll4vN3ZdERERkd1iiw4REREBAIQx47D0HmrCQoeIiIgAAAICwsKuJwF2XRERERFZBVt0iIiICEBGt5ORXVdERERkj4SQoeuKs66IiIiIrIMtOkRERAQAMIqMw9J7qAkLHSIiIgIACKOAsLBSsfR6ubHrioiIiOwWW3SIiIgIAPe6IiIiIjtmNAoYLex6svR6ubHrioiIiOyWqgud1NRU1K5dG5Ik4dy5c7ZOh4iIyK5lrqNj6aG056kPVF3ofPzxx/D29rZ1GkRERK+EzE09LT2U9jz1gWoLnV27dmHPnj348ssvC/T61NRU6PV6s4OIiIhsI/t7cmpqqiz3fd76QJWFzu3btzF48GCsXr0aRYoUKdA1YWFhcHd3Nx06nU7hLImIiOyLUQhZDgDQ6XRm78thYWEW5/ci9YHqZl0JIRAUFIShQ4ciICAA169fL9B1EydOxLhx40yP9Xo9ix0iIqLnIOdeV/Hx8XBzczOd12q1Ft/3ReoDq7XohISEQJKkfI/Lly9j/vz5SE5OxsSJE5/r/lqtFm5ubmYHERER2Ub29+S8Ch2l6wOrteiMHz8eQUFB+b7Gz88P+/btw/Hjx3P8hwQEBKB3795YuXKlglkSERG9umyxjo7S9YHVCh1PT094eno+83Xz5s3D559/bnqckJCAN998E+vXr0fDhg2VTJGIiOiVZouVkZWuD1Q3Rqd8+fJmj4sWLQoAqFixIsqVK2eLlIiIiMjGXrQ+UF2hQ0RERLYhhAy7l6tssyvVFzo+Pj6q+08jIiKyRyLL9HBL7mENBa0PVLmODhEREZEcVN+iQ0RERNYhjDJ0Xals93IWOkRERATAPgsddl0RERGR3WKLDhEREQEAjCLjsPQeasJCh4iIiACw64qIiIjopcIWHSIiIgIg7+7lasFCh4iIiAAARuPzb8qZ2z3UhF1XREREZLfYokNEREQA2HVFREREdoyzroiIiIheImzRISIiIgD22aLDQoeIiIgAAEYIGC0cY2OEugoddl0RERGR3WKLDhEREQFg1xURERHZMXucXs6uKyIiIrJbbNEhIiIiABndTpZuAcGuKyIiIlIlexyjw64rIiIislts0SEiIiIA9jkYmYUOERERAQCE0QhhNFp8DzVh1xURERHZLbboEBEREQDAKMOsK0uvlxsLHSIiIgJgn2N02HVFREREdostOkRERATAPtfRYaFDREREAOyz0GHXFREREdkttugQERERAMAII4zCsnVwjFDXOjosdIiIiAgAIIyWdz1ZWCfJjl1XREREZLfYokNEREQAOBjZqnbu3ImGDRvC2dkZHh4e6Natm61TIiIismuZCwZaeqiJKlt0Nm3ahMGDByM0NBStW7fG06dPceHCBVunRURERC8Z1RU6T58+xZgxYzB79mwMHDjQdL5atWr5XpeamorU1FTTY71er1iORERE9shoNMJo4e7jll4vN9V1XZ09exY3b96ERqNBnTp14OXlhQ4dOjyzRScsLAzu7u6mQ6fTWSljIiIi+5A5RsfSQ01UV+hcvXoVADB16lR8+umn2LFjBzw8PNCqVSv8/fffeV43ceJEJCUlmY74+HhrpUxEREQqZbVCJyQkBJIk5XtcvnzZ1OT1ySef4J133kG9evWwfPlySJKEDRs25Hl/rVYLNzc3s4OIiIgKTgijLIeaWG2Mzvjx4xEUFJTva/z8/HDr1i0A5mNytFot/Pz88McffyiZIhER0SvNHqeXW63Q8fT0hKen5zNfV69ePWi1WsTExKBZs2YAgPT0dFy/fh0VKlRQOk1FHN7a3NYpEBERvZJUN+vKzc0NQ4cOxZQpU6DT6VChQgXMnj0bANCjRw8bZ0dERGTH5BhM/Kq26DyP2bNno1ChQujbty8eP36Mhg0bYt++ffDw8Hjhex7Z3lLGDImIiOyPUciwqeerOkbneRQuXBhffvklvvzyS1unQkRERC8xVRY6REREZH0cjExERER2SwgjhIUrG6tternqFgwkIiIikgtbdIiIiAiAfXZdsUWHiIiI7BYLHSIiIgLwcmwBsXPnTjRs2BDOzs7w8PBAt27d8n09u66IiIgIAGA0AkYLu54sHMucr02bNmHw4MEIDQ1F69at8fTpU1y4cCHfa1joEBERkez0er3ZY61WC61W+8L3e/r0KcaMGYPZs2dj4MCBpvNZ98bMDbuuiIiICAAgjEZZDgDQ6XRwd3c3HWFhYRbldvbsWdy8eRMajQZ16tSBl5cXOnTowBYdIiIiKhg5Z13Fx8fDzc3NdN6S1hwAuHr1KgBg6tSpmDNnDnx8fPCf//wHrVq1QmxsLIoXL57rdWzRISIiItm5ubmZHXkVOiEhIZAkKd/j8uXLMP7TUvTJJ5/gnXfeQb169bB8+XJIkoQNGzbkmQdbdIiIiAgAZJk19bzXjx8/HkFBQfm+xs/PD7du3QJgPiZHq9XCz88Pf/zxR57XstAhIiIiALZZMNDT0xOenp7PfF29evWg1WoRExODZs2aAQDS09Nx/fp1VKhQIc/rWOgQERGR6rm5uWHo0KGYMmUKdDodKlSogNmzZwMAevToked1dlvoCJFRUWaf3kZERPQyyHz/ynw/s4anackWb+ppeJoiUzY5zZ49G4UKFULfvn3x+PFjNGzYEPv27YOHh0ee10jCmv+DVvTnn39Cp9PZOg0iIiKLxMfHo1y5corGePLkCXx9fZGYmCjL/cqUKYNr167ByclJlvtZwm4LHaPRiISEBLi6ukKSpOe6Vq/XQ6fT5ZgaZw2MzdiMzdiMzdhARktOcnIyvL29odEoP0n6yZMnSEtLk+Vejo6OqihyADvuutJoNBZXwJlT4myBsRmbsRmbsRnb3d1d5mzy5uTkpJriRE5cR4eIiIjsFgsdIiIislssdHKh1WoxZcoUi5erZmzGZmzGZmzGtkVs+h+7HYxMRERExBYdIiIislssdIiIiMhusdAhIiIiu8VCh4iIiOwWCx0iIiILBAcHIzk52dZpUB4464pw584dxMTEAABee+01lCpVysYZkT3Ytm1bgV/btWtXBTOxjeDgYHz99ddwdXW1dSqkMAcHB9y6dYt/O1WKhc4rLDk5GcOHD8e6detgMBgAZPzCvvvuu1i4cKFVlx5Xm6dPn6JQIeV2SElLS8OdO3dgzLZLcPny5RWLWRC3bt2Cl5eXLPcq6N48kiSZfv7kdPXqVfj6+j73XndyeZXf/AwGA7766it89913+OOPP3Lsn/T333/bKDNlaDQaJCYmvpLf65cBu67y8OTJE+j1erPDmtLS0vDw4UNFYwwaNAg///wzduzYgQcPHuDBgwfYsWMHTp8+jSFDhigaO1P2N7iff/4Zhw4dQnp6umIxv/vuu3yff/r0KXr27KlI7CtXrqB58+ZwdnZGhQoV4OvrC19fX/j4+MDX11eRmJnGjRuX7/O3bt1Cq1atZItnNBoLdChR5ABApUqVcPfuXdPjd999F7dv31YkVm7U/hnyyZMn+PLLLxW597Rp0zBnzhy8++67SEpKwrhx49C9e3doNBpMnTpVkZi5efDgAfbs2YNvv/0Wq1atMjvklpycnOM9w5bvIZSFIJOUlBQxYsQI4enpKTQaTY5DKREREWLkyJHi22+/FUIIERISIhwdHYVGoxFt27YVf/31lyJxixQpIg4fPpzj/KFDh0SRIkUUiZkpISFBNG3aVDg4OIgWLVqIv//+W3Tq1ElIkiQkSRKVK1cWCQkJisTWarViz549uT739OlT8fbbb4syZcooErtJkyaiRYsW4ocffhC//PKLOHfunNmhpGLFionPP/881+cSEhJE5cqVRdOmTRXNwZokSRK3b982PS5atKj4/fffrRo/Li5OJCUl5Xso6c6dO2L79u3ixx9/FE+fPhVCCJGWlibmzp0rSpcuLUqUKKFIXD8/P7Fjxw4hRMb/e1xcnBBCiK+//lr06tVLkZjZbdu2Tbi6ugpJkoS7u7soVqyY6fDw8JA1liRJub5nZB6Zz5Nt2O3u5S/io48+wv79+7Fo0SL07dsXCxcuxM2bN7FkyRLMnDlTkZgzZszAjBkz0LRpU0RGRuLIkSPYsmULpk+fDo1Gg3nz5uHTTz/FokWLZI9dokSJXLun3N3d4eHhIXu8rCZMmAAhBL7//nusWbMGnTt3hoODA+Lj42EwGPCvf/0LM2bMwIIFC2SPPWvWLHTv3h0//fQTGjZsaDpvNBrRs2dPHD16FPv27ZM9LgCcO3cOZ86cQZUqVRS5f362bduG9u3bo3jx4hg2bJjpfGJiIgIDA1G8eHHs3r1btnjz5s3D+++/DycnJ8ybNy/f144ePVq2uGpSuXLlPJ8TQijWbQcAR44cQefOnaHX6yFJEgICArB8+XJ069YNhQoVwtSpU9G/f39FYicmJqJmzZoAgKJFiyIpKQkA0LlzZ0yaNEmRmNmNHz8ewcHBCA0NRZEiRRSPt3HjRhQvXlzxOPQCbF1pqYlOpxP79+8XQgjh6uoqrly5IoQQYtWqVaJDhw6KxPT39xeRkZFCCCFOnTolNBqN2Lhxo+n5H374QZQvX16R2EuWLBFt27YVt27dMp27deuWaNeunVi8eLEiMTN5eXmJ48ePCyGEuHfvnpAkSfz000+m56OiooSfn59i8SdPniyKFy8uLly4IITIaMl55513hKenpzh//rxicQMCAnJtRbOWHTt2CK1WK9auXSuEyPh+V6lSRTRo0EDo9XpZY/n4+JhaI318fPI8fH19ZY2bSaPRiDt37pgeFy1aVFy9elWRWLmRJEls3rxZHDhwIN9DKS1bthS9evUS58+fFx9++KGppXTDhg2KxcxUuXJlceLECSGEEE2bNhVhYWFCCCHWrVsnPD09FY8vREaLtbVa8LK3HpK6sNDJwsXFRdy4cUMIIUTZsmXFzz//LIQQ4urVq8LFxUWRmI6OjuKPP/4we3z58mXT4z///FMULlxYtni1a9cWderUMR1FixYVhQsXFhUrVhQVK1YUhQsXFkWLFhV16tSRLWZunJyczL5uFxcXU2EphBA3btwQzs7OiuYwcuRI4e3tLWJiYkSPHj1EyZIlRXR0tKIxo6KiROPGjcX+/fvFX3/9ZdVujExr1qwRTk5OYvny5aJq1aoiICBAPHjwwCqxrUmSJNGxY0fx9ttvi7ffflsUKlRItGvXzvQ481Ayvi3f/IoXLy5+++03IYQQjx49EhqNRmzZssUqsSdMmCBmzJghhMgobgoVKiT8/f2Fo6OjmDBhglVyePvtt8X69eutEqsg3+vMrkOyPnZdZeHn54dr166hfPnyqFKlCr777js0aNAA27dvR7FixRSJmZ6ebrazraOjIwoXLmx6XKhQIVmbtrt16ybbvSxRqlQp3Lp1CzqdDgAwcuRIs2bf+/fvw8XFRdEc5s+fj/v376NWrVooWrQooqKi8Prrrysas23btgCANm3amJ0XCndjZPWvf/0LDx48wMCBA1G3bl389NNPdjnDLnu3TJ8+fWyUiW3cv38fJUuWBAA4OzujSJEiqFGjhqIxjUYjNBqNWVf/u+++iwoVKuDYsWOoVKkSunTpomgOmTp16oSPPvoIFy9eRM2aNc3+rgLyLmlQoUIFODg45PpcbGwsli1bhtWrV+PWrVuyxaSCY6GTxYABAxAdHY2WLVsiJCQEXbp0wYIFC5Ceno45c+YoFvfixYtITEwEkPGGd/nyZdOMq7/++kvWWFOmTJH1fi+qdu3aOH78OBo0aAAAOcZAHTlyRLGiI+vsIw8PDwghULt2baxYscLsdUp8z/fv3y/7PQuqTp06ZlOtCxcujAcPHiAwMNDsdWfPnlUk/p9//olt27blOt1Yif/r5cuXy37P55Hfm5+1ZP/bEhMTg5SUFLPXyPl7VrhwYbMp9R999BEmTpyIRo0aoVGjRrLFKYjBgwcDAKZPn57jObk/VFy7ds3s8aNHj7B+/XpERETg+PHjCAgIeOasR1IO19HJx40bN3DmzBn4+/sr9qar0WggSVKuU1Ezz8v9SxkREYHevXubtSSpzcmTJxX7BJr9jT03kiQpNiDZVqZNm1ag1ylRDEdFRaFr167w8/PD5cuXUaNGDVy/fh1CCNStW9fu/q/VwBZ/W7KvJ+Pm5oZz587Bz89PthhqduLECSxbtgwbNmxA+fLlcenSJezfvx/Nmze3dWqvNBY6Nnbjxo0Cva5ChQqyxcy+kJm3tzeOHTsGHx8f2WJQ3g4fPowlS5bg6tWr2LBhA8qWLYvVq1fD19cXzZo1s3V6imjQoAE6dOiAadOmwdXVFdHR0ShVqhR69+6N9u3bm80Ck8utW7ewYMECzJgxAwDQrFkzPHr0yPS8g4MDtmzZgrJly8oeGwBat279zNdIkoSoqChF4tvib0v2Qifze23rQufJkydwcnJS7P7/+c9/EBERgaSkJPTq1Qt9+vRBrVq1ULhwYURHR6NatWqKxaZne+W7rmw9BTbzj0x6enqOPuRMcndfZa9tk5OTc6zQa21CCBw4cABxcXHw8vLCm2++mef/hxz0ej1+/vlnpKWloUGDBvD09FQsVlabNm1C37590bt3b5w9exapqakAgKSkJISGhuKHH36wSh5ZCSFgNBoV7Wa5dOkS1q5dCyBj3Nnjx49RtGhRTJ8+HW+99ZYihc5///tf3L9/3/Q4OjoawcHBprFgu3btwldffaXYonm1atXK87nk5GRERkaavv9KkLOAeRkZDAaEhoZi8eLFuH37NmJjY+Hn54dJkybBx8cHAwcOlC3WhAkTMGHCBEyfPt3m3ZWUC+uPf1YXW0+BzdS9e3dhNBpznE9MTBTVq1eXNZatF1ITQogOHTqYZvrcu3dPNGzYUEiSZFqssUqVKmZTg+X0yy+/CC8vL9PihG5ubmL37t2KxMqudu3aYuXKlUII8//3s2fPitKlSysaOz09XXzyySeiRYsWYvLkyUIIIb744gtRpEgR4ejoKPr16ydSU1MViV26dGlx8eJFIYQQVatWFVu3bhVCCHHu3DnFZjTWrl1bHDp0yPQ4+8/57t27RbVq1RSJnZf09HQxd+5c4enpKfz9/U3T/JXQt29fsyUDzp07J9LS0hSLJ0TG35YhQ4aIsWPHirFjxwpHR0cRHBxsepx5WMO0adOEn5+f+Pbbb4Wzs7Ppe79u3TrRqFEjWWOFhoaKSpUqCZ1OJz7++GPTEhWFChUyzXwj23nlCx21CAgIEMHBwWbnEhISRJUqVcQ777wja6zs64u4urpadX0RIcyLrWHDholq1aqZcoiPjxf16tUTQ4cOVSR2u3btRJMmTcSxY8fE2bNnxdtvvy38/f0ViZWds7OzuHbtmhDC/I33999/F1qtVtHYn376qShdurQYN26cqFatmhg6dKjQ6XTi22+/FStXrhRly5YVs2bNUiT2W2+9JZYuXSqEEGL8+PHC399ffP7556Ju3bqiTZs2isQsVqyYiI+PNz1+++23RWJiounxtWvXFF/CIKtvv/1W+Pn5CS8vL7Fw4UKRnp6uaDyNRmP2gcbV1VXxDzQtW7YUrVq1yvcIDAxUNIdMFStWNK3NlfV37dKlS6JYsWKKxDxw4IDo16+fKFKkiHj99deFg4ODOHLkiCKxqOBY6GTx+PHjPJ9TajuCTHfu3BFVqlQxfdq5efOmqFy5sujRo4cwGAyyxpIkybQMuoeHh2mJ9MzHmYeSshY6r732mukTfqaffvpJsVa0EiVKiDNnzpge379/X0iSZJV1bHx9fcXevXuFEOZ/fFeuXCmqVq2qaGw/Pz+xfft2IYQQV65cERqNRqxbt870/Pr160WNGjUUif3777+b1ih6+PChGDJkiKhZs6bo3r27uH79uiIxXVxcxNmzZ/N8/uzZs4q1JmW1a9cuUatWLeHm5iamT58uHj58qHhMIdTRcmtLTk5Opp+trF/7b7/9pvj3Xa/Xi8WLF4sGDRoIBwcH0bhxY/Gf//xH0ZiUt1d+jE5WdevWRWRkJGrXrm12ftOmTRg6dKjZBoFy8/T0xJ49e0yDUXfs2IG6detizZo1Bd4FuqBsPe02U+ZU5/v376NixYpmz/n7+yMhIUGRuH///TfKlStnelysWDG4uLjg3r17cHNzUyRmpsGDB2PMmDGIiIiAJElISEjA8ePH8eGHHyq+NH5CQoJp3Ii/vz8cHR3NxpHUr1+/wANYn4fBYMCff/5pmrno4uKCxYsXyx4nu9deew3Hjh1DnTp1cn3+8OHD+W7RYKmTJ09iwoQJOHHiBIYOHYqffvrJtK4NKa9atWo4fPhwjrFKGzduzPNn4kX5+fnh1KlTKFGiBICMQdhDhgzBkCFDcP78eYSHh2PmzJmcYm4jLHSyaNWqFRo1aoRp06ZhwoQJSElJwYgRI/Ddd9+ZZm4oSafTYe/evWjevDneeOMNrF692mzdE7kotb/N8woKCoJWq0V6ejquXbuG6tWrm55LTExUbJFGwHx9ESBjQO6lS5eQnJxsOqfEkgIhISEwGo1o06YNHj16hBYtWkCr1eLDDz/EqFGjZI+Xlbu7Ox48eGBapLFu3bpwdXU1PZ+amqrIz5uDgwPatWuHS5cuKfo9ze69997D5MmT0bx58xzfy+joaEyfPh0TJkxQLH6jRo3g7OyMoUOHwtfXF5GRkbm+Tsl9vvJboyuTnD/nua1Zk5vJkyfLFjO/GP3798fNmzdhNBqxefNmxMTEYNWqVdixY4essa5fv57nNP2aNWti7ty5mD17tqwxqeA4vTybnTt3YtCgQfD398etW7dQtGhRfPvtt4qs5+Lh4ZHrG8ujR4+g1WrNRu///fffssfPlJycbDYTS6PRoGjRoorFAzIWZ8yqQ4cO6Nmzp+nxxx9/jF9//VXWTSYz2WJ9kezS0tIQFxeHhw8folq1aor/fwMZ05379++fZ6G7YcMGzJo1C6dPn5Y9dkBAAGbNmpVjRWglpaeno23btjh27BjeeOMNvPbaawCAmJgY7N27F40bN0ZUVJRis/t8fHyeWThKkoSrV68qEt8WP+f5tZRIkoSYmBg8efLEKiuAAxmtdtOnT0d0dDQePnyIunXrYvLkyWjXrp2scbJPqyd1YaGTjdFoxKhRo7Bo0SIUKlQI27dvx5tvvqlIrJUrVxb4tXK2wpw7dw7//ve/TVOZXV1dzdYXkSQJx48fR/369WWLWRCZP4qSJCElJQUODg6KrH1hi/VF1CA2NhaFCxeGr69vrs9HRkaiUKFCZgWnXHbv3o2JEyfis88+Q7169XJs76FUl2FaWhrmzJmDdevWITY2FgBQqVIl9OrVC2PHjlV00cxr167l+X9tDWr6OT937hxCQkKwb98+BAcHW6Xr0po0Gg1Wrlz5zK1U5Nx2ggqOhU4Wv//+O/71r38hMTERy5Ytw8GDBzF79myMGTMGM2bMUHRdF2saOHAgKlasiH//+98AMgqdJUuWoGzZshBCICIiAkIIrF692ir5hIeH46uvvsKVK1cAZLwRffDBBxg0aJBV4ufmwoULirTivf3227l+ypckCU5OTvD398e//vUvU+vDy2769OkYP368WRdZ1q/fGq1ntqLRaFChQgUEBgaidevWCAwMVGxxQrW6du0aJk2ahPXr16N79+74/PPPUalSJVunJbuCjKO015/zlwELnSxcXV3RqVMnLF682DSW4NixY+jXrx9cXV3xyy+/yB5z8uTJCAkJQZEiRQBkDMz18PCQPU5WVatWRWRkpKmZOfvqpT///DN69uypyMDU7CZPnow5c+Zg1KhRaNy4MQDg+PHjWLBgAcaOHVvgPn85JCcnY+3atVi2bBnOnDmjyB+loKAgbNmyBcWKFUO9evUAZOwt9eDBA7Rr1w7R0dG4fv06oqKi0LRpU1lj6/X6Ar1OztaVzFW4L126lO/rWrZsKVvMTCdPnkS9evXyXMAtNTUVW7duVaQFCwAOHDhgOjIXp/Tz8zMVPYGBgShdurQisTPp9XrT9/OHH37A06dPTc85ODigU6dOisT966+/MG3aNCxduhTNmjXDzJkzrd5CnNfQgKwfKoKCgnJ0o78Idl2pnJVneanaqlWrcj2v1+tzrHEjF1usdeHs7Gy2vsicOXPMplbfuHFD8TVdMpUsWVJERkbmOB8ZGSlKlChhlRwOHjwo+vXrJ1xcXESlSpXEhAkTxMmTJxWJNWHCBDFs2DCzJQMMBoMYOXKkmDhxojAajeL9998XTZs2lT22JElCo9HkeWQ+L3fMrD/f1vSs363ExETZv968PH78WERFRYlJkyaJ5s2bC61WKzQajaILFm7fvl3Url3b9Lho0aKmRTIzv9cbNmyQNebDhw/F1KlThZubm6hbt6748ccfZb3/85gzZ44oUaKE6NOnj5g3b56YN2+e6NOnjyhZsqSYMWOGGDRokNBqtab1nSyR/WeN1IWzrrLo27ev6d9//vknAKBcuXJwdXVFeHi4IjFFtga17I+V4OTkhBs3bpimWI8dO9bs+fj4eFMLk9LS09MREBCQ43y9evXMPn3KLTExEStWrEB4eDj0ej169uyJ1NRUbNmyRdF9acLDw3H06FGzpm6NRoNRo0ahSZMmCA0NxciRIxXZBNBWO6crMZOrIAryu2WN3zcg43eudevWaNasGQIDA7Fr1y4sWbIEly9fVizm0qVLc8zki4uLM7XcfvHFF4iIiMD//d//yRazYsWKSE5OxqhRo9CrVy9IkoRff/01x+uU2iQ5qyNHjuDzzz/H0KFDzc4vWbIEe/bswaZNm/D6669j3rx5pp3OX5S1fo7oBdmyylIbg8Egpk2bJtzc3Eyfct3d3cX06dNlX7Qvky0W9WrdurX48MMP83x+3LhxonXr1ormkGnkyJG5Lgk/fvx4MXz4cEVidu7cWbi5uYlevXqJHTt2iKdPnwohrLNce7FixXIsjiiEEFu3bjWt1hobG6vIyq0Gg0HMnDlTNGnSRAQEBIgJEyaIR48eyR4nq+yLU+Z1KBU7v98ta7TopKamioMHD4qpU6eKVq1aCWdnZ1G5cmUxaNAgsWrVKnHjxg3FYvv4+IjLly+bHmf/+n/99Vfh6ekpa8zsLUa5PbZWK5qLi4u4cuVKjvNXrlwxLRgYFxcnihQpYnGsoKAgs+02SF3YopPFJ598YlrYKXN8xJEjRzB16lQ8efJEkbV0JElCcnIynJycTAMzHz58mGM8hZzjJoYPH4733nsPPj4+GDZsmKl1wWAw4L///S/mz5+f55ofSggPD8eePXvQqFEjABljhP744w/069fPbIGtOXPmyBJv165dGD16NIYNG2b1gZF9+/bFwIED8e9//9s0ZuHUqVMIDQ1Fv379AAAHDx40W1NILjNmzMDUqVPRtm1bODs74+uvv8adO3cQEREhe6yspk2b9szZKPaodevW+Pnnn+Hr64uWLVtiyJAhiIyMhJeXl1Xi37p1y2xW2f79+01rKAFA0aJFkZSUJGvMa9euyXo/SxQvXhzbt2/P0WK9fft208auKSkpZgPlX9TSpUtzbIx8+/ZtLF68GCkpKejatatpMViyAVtXWmri5eWV66ftLVu2CG9vb0ViZh83kddjuX388cemDS1r164tateubWrJyq+1R27P2hdHif1xjh8/LgYNGiRcXV1FgwYNxPz588Xdu3et0qLz9OlT8fnnn4syZcqYPumWKVNGzJgxw9SydOPGDbMxVHLx9/cXixcvNj3eu3evcHR0VKy1UgjbjtGRJEns379fREdHi+joaOHi4iJ27txpehwVFaVo60KhQoWETqcTo0aNEps2bTJtHmwtXl5epu1GcvPjjz+KMmXKyBpz2rRpIiUlRdZ7vqilS5cKBwcH0aVLF/HZZ5+Jzz77THTt2lUUKlRILFu2TAghxJdffil69uxpcaygoCDx/vvvmx7r9Xqh0+mEp6eneP3110WhQoXEzp07LY5DL4azrrJwcnLCr7/+mmNZ+JiYGNSuXRuPHz+WPebBgwcL9DolZqWcOHECa9euNZvW3atXL1PLir1LSUnB+vXrERERgZMnT8JgMGDOnDkIDg6W5VPes2S22im97UQmrVaLuLg4s0/1Tk5OiIuLM9sSQ06Zs65sMRslvym/1lgYMiUlBYcPH8aBAwewf/9+nDt3DpUrV0bLli3RqlUrtGzZEp6enorEBjJWhn706BG2bduW6/OdO3eGi4sL1q9fL1tMW36/c3P06FEsWLAAMTExADK2BckcDyenypUrY8GCBaaFCBcuXIjQ0FBcvHgR7u7umDBhAk6ePGmzcXKvOhY6WTRs2BANGzbEvHnzzM6PGjUKp06dwokTJ2yUmbymT5+ODz/80GoDjl8GMTExCA8Px+rVq/HgwQO88cYbeb5ByOHu3bumP75VqlSxyh5IDg4OSExMNHtzdXV1xa+//qrYwna2nHZ7/vz5AhWR1loYMjk5GUeOHMH+/ftx4MABREdHo1KlSrhw4YIi8X755Rc0btwYXbp0wccff2z6ABcTE4NZs2Zh586dOHbsGOrWrStbzFd1mrWLiwsuXLhg+j3q3r07ypUrZ3ovuXjxIlq1aoU7d+7YMs1XFgudLA4ePIhOnTqhfPnyZmu6xMfH44cfflBkJkzmMu35kSRJ1hlIavvUpSYGgwE7duxAREQEtm7dKvv9U1JSMGrUKKxatcrUp+/g4IB+/fph/vz5ihafGo0GHTp0MBu3sX37drRu3dpspeLNmzcrloM1aTQaNGjQAAMHDsR7771nlVa6/BiNRpw6dQr79+/H/v37ceTIEcW3Q9i6dSsGDRqUYwsZDw8PLFu2DN26dZM1nkajwe3btxVtqXoeBoMBW7ZsMa3jVL16dXTt2jXPtZVeVIkSJXD48GHTjE1vb2/Mnj0bvXv3BgBcvXoVNWrUMFuBnqyHhU42CQkJWLhwoWnaZ9WqVTF8+HB4e3srEi+/N9Pjx49j3rx5MBqNePLkiWwxX9VPXZmCg4ML9DolBukOGTIEP/30ExYsWGA24H306NF44403sGjRItljZirowmhq2d3eUocPH8by5cuxceNGGI1GvPPOOxg0aJAiH1hyYzQacfr0aVPX1dGjR5GSkoKyZcuaFgwMDAxUvEXp0aNH+PHHH826qNu1a5djGw45aDQauLu7P/PDm5J792WKi4tDx44dcfPmTbN9znQ6HXbu3ImKFSvKFqtNmzZo0KABwsLCcPjwYbRq1Qp//vmnaeD53r17MWzYMMTFxckWkwqOhY4KxcTEICQkBNu3b0fv3r0xffp0Wf8Yqu1Tl7VlLs1fp06dPNe/kCRJkZaNkiVLYuPGjWjVqpXZ+f3796Nnz564e/eu7DFfdSkpKfjuu++wYsUKHD58GP7+/hg4cCD69++PMmXKKBbXzc0NKSkpKFOmjKmoadWqlaxvsPnp2LEj1q5da5rxNnPmTAwdOtS06vu9e/fQvHlzXLx4UbaYGo0Gc+fOfeYsOzn37stLx44dIYTAmjVrTLOs7t27hz59+kCj0WDnzp2yxTp48CA6dOgALy8v3Lp1C7169TJbe2348OFISUl5rv0NST4sdLK5f/8+wsPDTU2d1apVw4ABA0y/KEpKSEjAlClTsHLlSrz55psICwtTZL8lNX3qsoURI0Zg7dq1qFChAgYMGIA+ffpY5fsLAEWKFMGZM2dQtWpVs/O//fYbGjRogJSUFKvk8aqKi4vD8uXLsXr1aiQmJqJ9+/aKjcVasmQJAgMDc0xusJbsXdRubm44d+6cacHA27dvw9vbW9auMzW1Fru4uODEiROoWbOm2fno6Gg0bdoUDx8+lDXepUuXsGfPHpQpUwY9evQwGwy/dOlSNGjQALVr15Y1JhUMC50sDh06hC5dusDd3d20Wu+ZM2fw4MEDbN++HS1atFAkblJSEkJDQzF//nzUrl0bs2bNUrR5XU2fumwlNTUVmzdvRkREBI4dO4ZOnTph4MCBaNeunaIr+bZp0wYlSpTAqlWrTDuzP378GP3798fff/+Nn376SbHYlCElJQVr1qzBxIkT8eDBA7vdaDF70ZF9TzslCh01jf8rXrw4duzYkWOG1dGjR9GlSxe7/SBHubD6hHYVq1Gjhhg8eLBpPRMhMtY9ef/990WNGjUUiTlr1ixRvHhxUa1aNbFlyxZFYmRny7VN1Oj69eti6tSpws/PT5QvX14kJycrFuvXX38V3t7eokSJEqJ169aidevWokSJEqJs2bLiwoULisWljD3N+vfvL4oWLSrc3NzEoEGDxPHjx22dlmJssTK0mv629O3bV1SvXl2cOHFCGI1GYTQaxfHjx0WNGjVE//79FY9vjX0LqWDYopOFs7Mzzp07Zxq4lknJdXQ0Gg2cnZ3Rtm3bfGcCyDleRE2futQgPj4ey5cvx4oVK5CWlobLly+jaNGiisV79OgR1qxZYzbgvXfv3nB2dlYs5qsqISEBK1aswIoVKxAXF4cmTZpg4MCB6NmzpyKDcdUk+3IC2ZcSUKJFR00ePHiA/v37Y/v27ShcuDAA4OnTp+jatStWrFih+Grd2VvQyHa4BUQWdevWxaVLl3IUOpcuXUKtWrUUidmvXz+rb3rI2ta86+rIkSPo3LkzFixYgPbt2+e70Jwl0tPTUaVKFezYscPiTQTp2Tp06ICffvoJJUuWRL9+/RAcHJzjd9ueCSEQFBRkWk7gyZMnGDp0qKnAS01NtWV6ihJCQK/XY926dbh586ZpzGXVqlXh7+8ve7ynT5+iUKH8304vXryo6IbBlDcWOlmMHj0aY8aMQVxcnGl14BMnTmDhwoWYOXOm2S68cu2+u2LFClnu8zyy78nyqhk+fDjWrVsHnU6H4OBgrF271ioL9hUuXFjWZQIof4ULF8bGjRvRuXNn2ddNeRlkH2PXp0+fHK/J3F/N3ggh4O/vj99++w2VKlVSpLjJqnfv3jlWmO7Tp49pwcqLFy+idevWSExMVDQPyh27rrJ41id5aywbT8rTaDQoX7486tSpk29rmhLTy0NDQxEbG4tly5Y98xMgEb246tWrIzw83Cpb2pQvXx4dO3bE4sWLczx36dIlBAYGokmTJnazGOfLhn9ps1DTzrukHFt0F2Y6deoUoqKisGfPHtSsWTPHOBH+ISSSx8yZM/HRRx9h0aJFiizTkdWPP/6IFi1aoHjx4ggNDTWdj4mJQevWrdGoUSNs2LBB0Rwob2zRySIlJcXuByiSbT1rdWJ7WZWYyNY8PDzw6NEjPH36FI6OjjkG+8s9vfzUqVNo06YNJk+ejA8//BCXL19GYGAg6tevj82bN7MF14b4P59F6dKl0bNnTwQHB6NZs2a2TofsEAsZIuv46quvrNpyW79+fWzZsgWdO3fGw4cP8c0336BevXrYuHEjixwbY4tOFlu2bMGKFSvwww8/wMfHB8HBwejXr59i+1wREZF92bJlC3r06IF27dphy5YtpqntZDssdHJx9+5drF69GitWrMClS5fw5ptvIjg4GF27dmVlTs/tWYOeszp79qzC2RC9GvJaL+zevXsoVaqUrBNKPDw8zH7Hk5OT4ezsnOP9gqsx2wbftXPh6emJcePGYdy4cZg/fz4++ugj/PDDDyhZsiSGDh2KkJAQFClSxNZp0kuiW7dupn8/efIE//3vf1GtWjU0btwYQMYSBr/99huGDx9uowyJ7E9en+FTU1Ph6Ogoa6y5c+fKej+SF1t0cnH79m2sXLkSK1aswI0bN/D2229j4MCB+PPPPzFr1ix4e3tjz549tk6TXkKDBg2Cl5cXPvvsM7PzU6ZMQXx8PCIiImyUGZF9mDdvHgBg7Nix+Oyzz8xWOTcYDDh06BCuX7+OX375xap5GQyGV3I9JzVgoZPF5s2bsXz5cvz444+oVq0aBg0ahD59+qBYsWKm1/z++++oWrUq0tLSbJcovbTc3d1x+vRpVKpUyez8lStXEBAQgKSkJBtlRmQfMre4uHHjBsqVK2dWXDg6OsLHxwfTp09Hw4YNrZJPbGwswsPDsWrVKty6dcsqMckcu66yGDBgAN577z0cPXoU9evXz/U13t7e+OSTT6ycGdkLZ2dnHD16NEehc/ToUdNu5kT04jLXQwsMDMTmzZvh4eFh9RwePXqE9evXIyIiAsePH0dAQADGjRtn9TwoA1t0AOj1egDPXkcnczlvohc1c+ZMTJs2DYMHD0aDBg0AAD///DMiIiIwadIkhISE2DhDIvtkMBhw/vx5VKhQQbHi58SJE1i2bBk2bNiA8uXL49KlS9i/fz+aN2+uSDwqGBY6yNgSIL9ZMdz2geT03Xff4euvvzbbaHDMmDHo2bOnjTMjsh8ffPABatasiYEDB8JgMKBFixY4fvw4ihQpgh07dqBVq1ayxfrPf/6DiIgIJCUloVevXujTpw9q1aqFwoULIzo6mpt52hgLHQAHDx40/VsIgY4dO2LZsmUoW7as2etatmxp7dSIiOgFlC1bFlu3bkVAQAC2bNmCESNGYP/+/Vi9ejX27duHo0ePyharUKFCmDBhAqZPn242JoiFjjqw0MmFq6sroqOj4efnZ+tUyE6lpaXhzp07OXaSL1++vI0yIrIvTk5OiIuLQ7ly5fD++++jSJEimDt3Lq5du4ZatWqZhizIISwsDMuXL8eTJ0/Qq1cv9O3bFzVq1GChoxL5b9dNRLK6cuUKmjdvDmdnZ1SoUAG+vr7w9fWFj4+PabYIEVmudOnSuHjxIgwGA3bv3o033ngDQMZAYbmneU+cOBGxsbFYvXo1EhMT0bBhQ9SqVQtCCNy/f1/WWPT8OOuKyIqCgoJQqFAh7NixA15eXjbbRZ3I3g0YMAA9e/Y0/Z61bdsWQMbg/ypVqigSs2XLlmjZsiXmz5+PtWvXIjw8HC1atEDDhg3xf//3f5x5ZSPsusqFq6srfv31V37CJtm5uLjgzJkziv2hJaL/2bhxI+Lj49GjRw+UK1cOALBy5Up4eHiga9euVsnhwoULCA8Px5o1a3Dnzh2rxCRzLHQAdO/e3ezx9u3b0bp16xxTzTdv3mzNtMgO1a9fH1999RWaNWtm61SI7FLHjh2xdu1auLu7A8hY0mHo0KGmhV/v3buH5s2b4+LFi7LFzP4ekhtJklC2bFm88cYb6NKli2yx6dlY6CCjibMgli9frnAmZO/27duHTz/9FKGhoahZs2aOnY25VhORZbJv5unm5oZz586ZJpfcvn0b3t7esi4XUpD3EKPRiDt37uDgwYP48MMPMX36dNniU/5Y6BBZkUaTMf4/+9gcrtVEJA+NRoPExERToZN9Fq0Shc7z2LFjB4YPH44//vjDJvFfRRyMTGRF+/fvz/O58+fPWzETIrKFZs2aISAgwNZpvFLYokNkQ8nJyVi7di2WLVuGM2fOsEWHyEIODg5ITEyEp6cngJyTS2zdokPWxxYdIhs4dOgQwsPDsWnTJnh7e6N79+5YuHChrdMieukJIRAUFAStVgsAePLkCYYOHWqaXJKammrL9MgG2KJDZCWJiYlYsWIFwsPDodfr0bNnTyxevJgrpxLJiJNLKDsWOkRW0KVLFxw6dAidOnVC79690b59ezg4OHCJeCIihbHrisgKdu3ahdGjR2PYsGGoVKmSrdMhInplcK8rIis4cuQIkpOTUa9ePTRs2BALFizAX3/9Zeu0iIjsHruuiKwoJSUF69evR0REBE6ePAmDwYA5c+YgODgYrq6utk6PiMjusNAhspGYmBiEh4dj9erVePDgAd544w1s27bN1mkREdkVFjpENmYwGLB9+3ZERESw0CEikhkLHSIiIrJbHIxMREREdouFDhEREdmt/wcGbBPIEk0DTAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 700x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dc.plot_barplot(pathway_acts, 'T cell', top=25, vertical=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39d0b5a9",
   "metadata": {},
   "source": [
    "It looks like JAK-STAT, a known immunity pathway is more active in T cells from COVID-19 patients than in controls. To further explore how the target genes of a pathway of interest behave, we can plot them in scatter plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c1b8b9ea-c7ef-494b-bd52-17a1aac5be83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dc.plot_targets(results_df, stat='stat', source_name='JAK-STAT', net=progeny, top=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a2933a7-97b6-457f-891d-6ac6bb0dbe9b",
   "metadata": {},
   "source": [
    "The observed activation of JAK-STAT is due to the fact that majority of its target genes with positive weights have positive\n",
    "t-values (1st quadrant), and the majority of the ones with negative weights have negative t-values (3d quadrant)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fc171c8",
   "metadata": {},
   "source": [
    "## Functional enrichment of biological terms\n",
    "\n",
    "Finally, we can also infer activities for general biological terms or processes.\n",
    "\n",
    "### MSigDB gene sets\n",
    "\n",
    "The Molecular Signatures Database ([MSigDB](http://www.gsea-msigdb.org/gsea/msigdb/)) is a resource containing a collection of gene sets annotated to different biological processes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "800e11ac-af86-400c-9e6a-c409548e25d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genesymbol</th>\n",
       "      <th>collection</th>\n",
       "      <th>geneset</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>chemical_and_genetic_perturbations</td>\n",
       "      <td>BOYAULT_LIVER_CANCER_SUBCLASS_G56_DN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>chemical_and_genetic_perturbations</td>\n",
       "      <td>ELVIDGE_HYPOXIA_UP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>chemical_and_genetic_perturbations</td>\n",
       "      <td>NUYTTEN_NIPP1_TARGETS_DN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>immunesigdb</td>\n",
       "      <td>GSE17721_POLYIC_VS_GARDIQUIMOD_4H_BMDC_DN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>chemical_and_genetic_perturbations</td>\n",
       "      <td>SCHAEFFER_PROSTATE_DEVELOPMENT_12HR_UP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3838543</th>\n",
       "      <td>PRAMEF22</td>\n",
       "      <td>go_biological_process</td>\n",
       "      <td>GOBP_POSITIVE_REGULATION_OF_CELL_POPULATION_PR...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3838544</th>\n",
       "      <td>PRAMEF22</td>\n",
       "      <td>go_biological_process</td>\n",
       "      <td>GOBP_APOPTOTIC_PROCESS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3838545</th>\n",
       "      <td>PRAMEF22</td>\n",
       "      <td>go_biological_process</td>\n",
       "      <td>GOBP_REGULATION_OF_CELL_DEATH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3838546</th>\n",
       "      <td>PRAMEF22</td>\n",
       "      <td>go_biological_process</td>\n",
       "      <td>GOBP_NEGATIVE_REGULATION_OF_DEVELOPMENTAL_PROCESS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3838547</th>\n",
       "      <td>PRAMEF22</td>\n",
       "      <td>go_biological_process</td>\n",
       "      <td>GOBP_NEGATIVE_REGULATION_OF_CELL_DEATH</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3838548 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        genesymbol                          collection  \\\n",
       "0             MAFF  chemical_and_genetic_perturbations   \n",
       "1             MAFF  chemical_and_genetic_perturbations   \n",
       "2             MAFF  chemical_and_genetic_perturbations   \n",
       "3             MAFF                         immunesigdb   \n",
       "4             MAFF  chemical_and_genetic_perturbations   \n",
       "...            ...                                 ...   \n",
       "3838543   PRAMEF22               go_biological_process   \n",
       "3838544   PRAMEF22               go_biological_process   \n",
       "3838545   PRAMEF22               go_biological_process   \n",
       "3838546   PRAMEF22               go_biological_process   \n",
       "3838547   PRAMEF22               go_biological_process   \n",
       "\n",
       "                                                   geneset  \n",
       "0                     BOYAULT_LIVER_CANCER_SUBCLASS_G56_DN  \n",
       "1                                       ELVIDGE_HYPOXIA_UP  \n",
       "2                                 NUYTTEN_NIPP1_TARGETS_DN  \n",
       "3                GSE17721_POLYIC_VS_GARDIQUIMOD_4H_BMDC_DN  \n",
       "4                   SCHAEFFER_PROSTATE_DEVELOPMENT_12HR_UP  \n",
       "...                                                    ...  \n",
       "3838543  GOBP_POSITIVE_REGULATION_OF_CELL_POPULATION_PR...  \n",
       "3838544                             GOBP_APOPTOTIC_PROCESS  \n",
       "3838545                      GOBP_REGULATION_OF_CELL_DEATH  \n",
       "3838546  GOBP_NEGATIVE_REGULATION_OF_DEVELOPMENTAL_PROCESS  \n",
       "3838547             GOBP_NEGATIVE_REGULATION_OF_CELL_DEATH  \n",
       "\n",
       "[3838548 rows x 3 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Retrieve MSigDB resource\n",
    "msigdb = dc.get_resource('MSigDB')\n",
    "msigdb"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6fd7f04-8363-4683-9309-622bf405feb7",
   "metadata": {},
   "source": [
    "As an example, we will use the hallmark gene sets, but we could have used any other. \n",
    "\n",
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note**\n",
    "    \n",
    "To see what other collections are available in MSigDB, type: `msigdb['collection'].unique()`.\n",
    "\n",
    "</div>  \n",
    "\n",
    "We can filter by for `hallmark`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "6892b3b0-f251-4604-be01-8ae0d27b87c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genesymbol</th>\n",
       "      <th>collection</th>\n",
       "      <th>geneset</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>IL2_STAT5_SIGNALING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>COAGULATION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>HYPOXIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>TNFA_SIGNALING_VIA_NFKB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>MAFF</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>COMPLEMENT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1449668</th>\n",
       "      <td>STXBP1</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>PANCREAS_BETA_CELLS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1450315</th>\n",
       "      <td>ELP4</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>PANCREAS_BETA_CELLS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1450526</th>\n",
       "      <td>GCG</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>PANCREAS_BETA_CELLS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1450731</th>\n",
       "      <td>PCSK2</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>PANCREAS_BETA_CELLS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1450916</th>\n",
       "      <td>PAX6</td>\n",
       "      <td>hallmark</td>\n",
       "      <td>PANCREAS_BETA_CELLS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7318 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        genesymbol collection                  geneset\n",
       "233           MAFF   hallmark      IL2_STAT5_SIGNALING\n",
       "250           MAFF   hallmark              COAGULATION\n",
       "270           MAFF   hallmark                  HYPOXIA\n",
       "373           MAFF   hallmark  TNFA_SIGNALING_VIA_NFKB\n",
       "377           MAFF   hallmark               COMPLEMENT\n",
       "...            ...        ...                      ...\n",
       "1449668     STXBP1   hallmark      PANCREAS_BETA_CELLS\n",
       "1450315       ELP4   hallmark      PANCREAS_BETA_CELLS\n",
       "1450526        GCG   hallmark      PANCREAS_BETA_CELLS\n",
       "1450731      PCSK2   hallmark      PANCREAS_BETA_CELLS\n",
       "1450916       PAX6   hallmark      PANCREAS_BETA_CELLS\n",
       "\n",
       "[7318 rows x 3 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter by hallmark\n",
    "msigdb = msigdb[msigdb['collection']=='hallmark']\n",
    "\n",
    "# Remove duplicated entries\n",
    "msigdb = msigdb[~msigdb.duplicated(['geneset', 'genesymbol'])]\n",
    "\n",
    "# Rename\n",
    "msigdb.loc[:, 'geneset'] = [name.split('HALLMARK_')[1] for name in msigdb['geneset']]\n",
    "\n",
    "msigdb"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5f84244-124f-464c-a13a-3e9349173d9d",
   "metadata": {},
   "source": [
    "### Enrichment with Over Representation Analysis (ORA)\n",
    "\n",
    "To infer functional enrichment scores we will run the Over Representation Analysis (`ora`) method.\n",
    "As input data it accepts an expression matrix (`decoupler.run_ora`) or the results of differential expression analysis (`decoupler.run_ora_df`).\n",
    "For the former, by default the top 5% of expressed genes by sample are selected as the set of interest (S*), and for the latter a user-defined\n",
    "significance filtering can be used.\n",
    "Once we have S*, it builds a contingency table using set operations for each set stored in the gene set resource being used (`net`).\n",
    "Using the contingency table, `ora` performs a one-sided Fisher exact test to test for significance of overlap between sets.\n",
    "The final score is obtained by log-transforming the obtained p-values, meaning that higher values are more significant.\n",
    "\n",
    "<img src=\"../ora.png\" />\n",
    "     \n",
    "We can run `ora` with a simple one-liner:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d005de65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Term</th>\n",
       "      <th>Set size</th>\n",
       "      <th>Overlap ratio</th>\n",
       "      <th>p-value</th>\n",
       "      <th>FDR p-value</th>\n",
       "      <th>Odds ratio</th>\n",
       "      <th>Combined score</th>\n",
       "      <th>Features</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ADIPOGENESIS</td>\n",
       "      <td>200</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.713504</td>\n",
       "      <td>0.776926</td>\n",
       "      <td>0.928736</td>\n",
       "      <td>0.313511</td>\n",
       "      <td>ACAA2;NMT1;PPP1R15B;TALDO1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALLOGRAFT_REJECTION</td>\n",
       "      <td>200</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.351911</td>\n",
       "      <td>0.538864</td>\n",
       "      <td>1.347138</td>\n",
       "      <td>1.406920</td>\n",
       "      <td>CSK;FGR;HLA-E;PTPN6;STAT4;TNF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ANDROGEN_RESPONSE</td>\n",
       "      <td>100</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.698206</td>\n",
       "      <td>0.776926</td>\n",
       "      <td>1.030255</td>\n",
       "      <td>0.370109</td>\n",
       "      <td>HERC3;RPS6KA3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>APICAL_JUNCTION</td>\n",
       "      <td>200</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.713504</td>\n",
       "      <td>0.776926</td>\n",
       "      <td>0.928736</td>\n",
       "      <td>0.313511</td>\n",
       "      <td>ACTG1;CD276;CERCAM;SHC1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>APICAL_SURFACE</td>\n",
       "      <td>44</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.658551</td>\n",
       "      <td>0.776926</td>\n",
       "      <td>1.397074</td>\n",
       "      <td>0.583576</td>\n",
       "      <td>ADAM10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Term  Set size  Overlap ratio   p-value  FDR p-value  \\\n",
       "0         ADIPOGENESIS       200       0.020000  0.713504     0.776926   \n",
       "1  ALLOGRAFT_REJECTION       200       0.030000  0.351911     0.538864   \n",
       "2    ANDROGEN_RESPONSE       100       0.020000  0.698206     0.776926   \n",
       "3      APICAL_JUNCTION       200       0.020000  0.713504     0.776926   \n",
       "4       APICAL_SURFACE        44       0.022727  0.658551     0.776926   \n",
       "\n",
       "   Odds ratio  Combined score                       Features  \n",
       "0    0.928736        0.313511     ACAA2;NMT1;PPP1R15B;TALDO1  \n",
       "1    1.347138        1.406920  CSK;FGR;HLA-E;PTPN6;STAT4;TNF  \n",
       "2    1.030255        0.370109                  HERC3;RPS6KA3  \n",
       "3    0.928736        0.313511        ACTG1;CD276;CERCAM;SHC1  \n",
       "4    1.397074        0.583576                         ADAM10  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Infer enrichment with ora using significant deg\n",
    "top_genes = results_df[results_df['padj'] < 0.05]\n",
    "\n",
    "# Run ora\n",
    "enr_pvals = dc.get_ora_df(\n",
    "    df=top_genes,\n",
    "    net=msigdb,\n",
    "    source='geneset',\n",
    "    target='genesymbol'\n",
    ")\n",
    "\n",
    "enr_pvals.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fde3053c",
   "metadata": {},
   "source": [
    "Then we can visualize the most enriched terms:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "89436383",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 700x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dc.plot_dotplot(enr_pvals, x='Combined score', y = 'Term', s='Odds ratio', c = 'FDR p-value', scale = 0.5, figsize=(7,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e08f9835-ec97-471c-90e3-6b0e7b9d360e",
   "metadata": {},
   "source": [
    "As before, we can plot the downstream genes of gene sets of interest:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "94982f2c-2256-47a2-86ce-35184c3ecf2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "dc.plot_running_score(\n",
    "    results_df,\n",
    "    stat='stat',\n",
    "    net=msigdb,\n",
    "    source='geneset',\n",
    "    target='genesymbol',\n",
    "    set_name='MYC_TARGETS_V1'\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dcp39",
   "language": "python",
   "name": "dcp39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
